Why you should use Teradata online test?

The Teradata online test makes use of scenario-based questions to test for on-the-job skills as opposed to theoretical knowledge, ensuring that candidates who do well on this screening test have the relavant skills. The questions are designed to covered following on-the-job aspects: Teradata -databasebeheer en -administratie SQL Query -optimalisatie en afstemming van prestaties ETL ontwerp en implementatie Gegevensmodellering en database -ontwerp Data -analyse en rapportage Gegevensintegratie en consolidatie Gegevensmigratie en transformatie Teradata -hulpprogramma's en tools vaardigheid Inzicht in en implementeren van teradata -beveiliging Het ontwikkelen en onderhouden van Teradata Data Warehouse

Teradata online test

About the test:

De online test van Teradata maakt gebruik van scenario-gebaseerde MCQ's om kandidaten te evalueren op basis van hun kennis van de teradata-database, SQL-query's, prestatie-afstemming, databodel, database-architectuur en data-warehousing-concepten. Bovendien evalueert de test de vaardigheid van een kandidaat in teradata -nutsbedrijven, teradata parallel transporter (TPT) en Teradata querygrid. De test is bedoeld om het vermogen van een kandidaat te beoordelen om teradata -databases efficiënt en effectief te ontwerpen, te ontwikkelen en te onderhouden.

Covered skills:

Teradata
Database management
Datamodellering
Gegevens integratie
Teradata -hulpprogramma's

Sql
ETL
Data Analytics
Data migratie

Try practice test

Start 14-day free trial

9 reasons why

Adaface Teradata Test is the most accurate way to shortlist Teradata -databasebeheerders

Reason #1

Tests for on-the-job skills

The Teradata online test helps recruiters and hiring managers identify qualified candidates from a pool of resumes, and helps in taking objective hiring decisions. It reduces the administrative overhead of interviewing too many candidates and saves time by filtering out unqualified candidates at the first step of the hiring process.

The test screens for the following skills that hiring managers look for in candidates:

Mogelijkheid om teradata -databases te ontwerpen en te optimaliseren
Vaardigheid in SQL en gegevensmanipulatietaal (DML)
Kennis van ETL -processen en tools
Ervaring met datamodellering en -ontwerp
Mogelijkheid om gegevens te analyseren en te interpreteren
Kennis van teradata -hulpprogramma's en afstemming van prestaties
Inzicht in gegevensintegratie en migratie
Sterke vaardigheden in teradata -databasebeheer
Vaardigheid in teradata SQL -syntaxis en functies
Mogelijkheid om gegevensanalyses uit te voeren met behulp van Teradata
Kennis van datawarehousing -concepten
Bekendheid met het kader van het gegevensbeheer van Teradata
Mogelijkheid om efficiënte SQL -query's te schrijven
Inzicht in de best practices voor gegevensbeveiliging en privacy
Ervaring met het teradata -systeembeheer
Mogelijkheid om problemen met de teradata -databaseproblemen op te lossen en op te lossen
Kennis van teradata parallelle verwerkingsarchitectuur
Inzicht in Teradata Data Warehouse Appliance
Ervaring met back -up- en herstelprocedures van teradata
Mogelijkheid om te werken met teradata teradata multiload en fastload
Kennis van teradata teradata querygrid en queryband
Inzicht in het gegevenswoordenboek van Teradata en metagegevensbeheer
Ervaring in het gezichtspunt van Teradata Teradata en datamover
Mogelijkheid om gebruikers en rollen van Teradata -database te maken en te beheren
Kennis van Teradata Teradata Index Wizard en Teradata SQL Assistant
Inzicht in het werklastbeheer van Teradata en query -optimalisatie
Ervaring in Teradata Teradata Tpump en TPT (Teradata Parallel Transporter)
Mogelijkheid om gegevensmodellering uit te voeren met behulp van de logische en fysieke datamodellen van Teradata
Kennis van Teradata Teradata Presto
Inzicht in de compressietechnieken van Teradata en opties voor gegevensopslag
Ervaring in Teradata Teradata Bteq en Fastexport
Mogelijkheid om te werken met Daemon -programma's en nutsbedrijven van Teradata Teradatad
Kennis van teradata teradata geospatiale gegevenstypen en -functies
Inzicht in de gegevenslijn van Teradata en impactanalyse
Ervaring in Teradata Teradata Unity and Unity Director
Mogelijkheid om Teradata SQL -query's en databaseprestaties af te stemmen en te optimaliseren
Kennis van Teradata Teradata SQL Referentie en Teradata Database Administration
Inzicht in de gegevensarchivering van Teradata en gegevensbehoud
Ervaring in Teradata Teradata ODBC en JDBC -stuurprogramma's
Mogelijkheid om problemen met het laden van gegevens en gegevensbeweging op te lossen en te identificeren
Kennis van Teradata Teradata Statistics Wizard en Teradata Database Design
Inzicht in de gegevensreplicatie van Teradata en gegevenssynchronisatie
Ervaring in teradata teradata lob -gegevenstypen en -functies
Mogelijkheid om teradata -datamarts en datawarehouses te ontwerpen en te implementeren
Kennis van Teradata Teradata Studio en Teradata Database Query Scheduler
Inzicht in de gegevensmaskering van Teradata en gegevensanonimisatie
Ervaring in teradata teradata beveiligde zones en teradata -tools en hulpprogramma's
Mogelijkheid om de capaciteitsplanning van teradata -database uit te voeren en afstemming van prestaties
Kennis van Teradata Teradata SQL Formatter en Teradata QueryGrid Manager
Inzicht in de gegevenstoegangscontrole en autorisatie van Teradata
Ervaring in Teradata Teradata Data Mover en Teradata ET en LT
Mogelijkheid om back -up van Teradata -database uit te voeren en procedures te herstellen
Kennis van teradata teradata -systeememulatie tool en teradata audit
Inzicht in de gegevenskwaliteit van Teradata en initiatieven voor gegevensbeheer
Ervaring in teradata teradata parallelle gegevenspomp en teradata multi-system manager
Mogelijkheid om oplossingen voor teradata data -integratie te ontwerpen en te implementeren
Kennis van Teradata Teradata Metadata Services en Teradata Data Lab
Inzicht in de capaciteitsplanning van Teradata en de monitoring van systeemprestaties
Ervaring in Teradata Teradata JDBC -provider en Teradata ODBC Driver
Mogelijkheid om problemen met teradata -gegevensreplicatie en synchronisatieproblemen op te lossen en op te lossen
Kennis van Teradata Teradata Data Dictionary en Teradata Data Protection
Inzicht in de gegevensvirtualisatie en analytische functies van Teradata
Ervaring in Teradata Teradata AppCenter en Teradata XML Services
Mogelijkheid om teradata -database -upgrade en patchingprocedures uit te voeren
Kennis van teradata teradata databasebeheer en teradata -databasebeheer
Inzicht in de vragen van Teradata herschrijven en query -optimalisatietechnieken
Ervaring in Teradata Teradata Active System Management en Teradata Remote Console
Mogelijkheid om teradata -gegevensbeveiliging en privacymechanismen te ontwerpen en te implementeren
Kennis van Teradata Teradata Ecosystem Manager en Teradata Unity Data Mover
Inzicht in de gegevenscodering van Teradata en sleutelbeheer
Ervaring in Teradata Teradata Secure Enterprise Search en Teradata Portfolio voor Hadoop
Mogelijkheid om Teradata Data Warehouse -architectuur te configureren en te beheren
Kennis van teradata teradata -gegevensprivacy en teradata -gegevensstroomhulpprogramma
Inzicht in de strategieën voor gegevenscompressie van Teradata en data -archivering

Reason #2

No trick questions

Traditional assessment tools use trick questions and puzzles for the screening, which creates a lot of frustration among candidates about having to go through irrelevant screening assessments.

View sample questions

The main reason we started Adaface is that traditional pre-employment assessment platforms are not a fair way for companies to evaluate candidates. At Adaface, our mission is to help companies find great candidates by assessing on-the-job skills required for a role.

Why we started Adaface

Try practice test

Start 14-day free trial

Reason #3

Non-googleable questions

We have a very high focus on the quality of questions that test for on-the-job skills. Every question is non-googleable and we have a very high bar for the level of subject matter experts we onboard to create these questions. We have crawlers to check if any of the questions are leaked online. If/ when a question gets leaked, we get an alert. We change the question for you & let you know.

How we design questions

Dit zijn slechts een klein monster uit onze bibliotheek met meer dan 10.000 vragen. De werkelijke vragen hierover Teradata online test zal niet-googelbaar zijn.

🧐 Question
Medium Multi Select JOIN GROUP BY	Try practice test
Consider the following SQL table: How many rows does the following SQL query return?
Medium nth highest sales Nested queries User Defined Functions	Try practice test
Consider the following SQL table: Which of the following SQL commands will find the ‘nth highest Sales’ if it exists (returns null otherwise)?
Medium Select & IN Nested queries	Try practice test
Consider the following SQL table: Which of the following SQL queries would return the year when neither a football or cricket winner was chosen?
Medium Sorting Ubers Nested queries Join Comparison operators	Try practice test
Consider the following SQL table: What will be the first two tuples resulting from the following SQL command?
Hard With, AVG & SUM MAX() MIN() Aggregate functions	Try practice test
Consider the following SQL table: How many tuples does the following query return?
Medium Data Merging Data Merging Conditional Logic	Try practice test
A data engineer is tasked with merging and transforming data from two sources for a business analytics report. Source 1 is a SQL database 'Employee' with fields EmployeeID (int), Name (varchar), DepartmentID (int), and JoinDate (date). Source 2 is a CSV file 'Department' with fields DepartmentID (int), DepartmentName (varchar), and Budget (float). The objective is to create a summary table that lists EmployeeID, Name, DepartmentName, and YearsInCompany. The YearsInCompany should be calculated based on the JoinDate and the current date, rounded down to the nearest whole number. Consider the following initial SQL query: Which of the following modifications ensures accurate data transformation as per the requirements? A: Change FLOOR to CEILING in the calculation of YearsInCompany. B: Add WHERE e.JoinDate IS NOT NULL before the JOIN clause. C: Replace JOIN with LEFT JOIN and use COALESCE(d.DepartmentName, 'Unknown'). D: Change the YearsInCompany calculation to YEAR(CURRENT_DATE) - YEAR(e.JoinDate). E: Use DATEDIFF(YEAR, e.JoinDate, CURRENT_DATE) for YearsInCompany calculation.
Medium Data Updates Staging Data Warehouse	Try practice test
Jaylo is hired as Data warehouse engineer at Affflex Inc. Jaylo is tasked with designing an ETL process for loading data from SQL server database into a large fact table. Here are the specifications of the system: 1. Orders data from SQL to be stored in fact table in the warehouse each day with prior day’s order data 2. Loading new data must take as less time as possible 3. Remove data that is more then 2 years old 4. Ensure the data loads correctly 5. Minimize record locking and impact on transaction log Which of the following should be part of Jaylo’s ETL design? A: Partition the destination fact table by date B: Partition the destination fact table by customer C: Insert new data directly into fact table D: Delete old data directly from fact table E: Use partition switching and staging table to load new data F: Use partition switching and staging table to remove old data
Medium SQL in ETL Process SQL Code Interpretation Data Transformation SQL Functions	Try practice test
In an ETL process designed for a retail company, a complex SQL transformation is applied to the 'Sales' table. The 'Sales' table has fields SaleID, ProductID, Quantity, SaleDate, and Price. The goal is to generate a report that shows the total sales amount and average sale amount per product, aggregated monthly. The following SQL code snippet is used in the transformation step: What specific function does this SQL code perform in the context of the ETL process, and how does it contribute to the reporting goal? A: The code calculates the total and average sales amount for each product annually. B: It aggregates sales data by month and product, computing total and average sales amounts. C: This query generates a daily breakdown of sales, both total and average, for each product. D: The code is designed to identify the best-selling products on a monthly basis by sales amount. E: It calculates the overall sales and average price per product, without considering the time dimension.
Medium Trade Index Index	Try practice test
Silverman Sachs is a trading firm and deals with daily trade data for various stocks. They have the following fact table in their data warehouse: Table: Trades Indexes: None Columns: TradeID, TradeDate, Open, Close, High, Low, Volume Here are three common queries that are run on the data: Dhavid Polomon is hired as an ETL Developer and is tasked with implementing an indexing strategy for the Trades fact table. Here are the specifications of the indexing strategy: - All three common queries must use a columnstore index - Minimize number of indexes - Minimize size of indexes Which of the following strategies should Dhavid pick: A: Create three columnstore indexes: 1. Containing TradeDate and Close 2. Containing TradeDate, High and Low 3. Container TradeDate and Volume B: Create two columnstore indexes: 1. Containing TradeID, TradeDate, Volume and Close 2. Containing TradeID, TradeDate, High and Low C: Create one columnstore index that contains TradeDate, Close, High, Low and Volume D: Create one columnstore index that contains TradeID, Close, High, Low, Volume and Trade Date
Easy Healthcare System Data Integrity Normalization Referential Integrity	Try practice test
You are designing a data model for a healthcare system with the following requirements: A: A separate table for each entity with foreign keys as specified, and a DoctorPatient table linking Doctors to Patients. B: A separate table for each entity with foreign keys as specified, without additional tables. C: A combined PatientDoctor table replacing Patient and Doctor, and separate tables for Appointment and Prescription. D: A separate table for each entity with foreign keys, and a PatientPrescription table to track prescriptions directly linked to patients. E: A single table combining Patient, Doctor, Appointment, and Prescription into one. F: A separate table for each entity with foreign keys as specified, and an AppointmentDetails table linking Appointments to Prescriptions.
Hard ER Diagram and minimum tables ER Diagram	Try practice test
Look at the given ER diagram. What do you think is the least number of tables we would need to represent M, N, P, R1 and R2?
Medium Normalization Process Normalization Database Design Anomaly Elimination	Try practice test
Consider a healthcare database with a table named PatientRecords that stores patient visit information. The table has the following attributes: - VisitID - PatientID - PatientName - DoctorID - DoctorName - VisitDate - Diagnosis - Treatment - TreatmentCost In this table: - Each VisitID uniquely identifies a patient's visit and is associated with one PatientID. - PatientID is associated with exactly one PatientName. - Each DoctorID is associated with a unique DoctorName. - TreatmentCost is a fixed cost based on the Treatment. Evaluating the PatientRecords table, which of the following statements most accurately describes its normalization state and the required actions for higher normalization? A: The table is in 1NF. To achieve 2NF, remove partial dependencies by separating Patient information (PatientID, PatientName) and Doctor information (DoctorID, DoctorName) into different tables. B: The table is in 2NF. To achieve 3NF, remove transitive dependencies by creating separate tables for Patients (PatientID, PatientName), Doctors (DoctorID, DoctorName), and Visits (VisitID, PatientID, DoctorID, VisitDate, Diagnosis, Treatment, TreatmentCost). C: The table is in 3NF. To achieve BCNF, adjust for functional dependencies such as moving DoctorName to a separate Doctors table. D: The table is in 1NF. To achieve 3NF, create separate tables for Patients, Doctors, and Visits, and remove TreatmentCost as it is a derived attribute. E: The table is in 2NF. To achieve 4NF, address any multi-valued dependencies by separating Visit details and Treatment details. F: The table is in 3NF. To achieve 4NF, remove multi-valued dependencies related to VisitID.
Medium University Courses ER Diagrams Complex Relationships Integrity Constraints	Try practice test
Based on the ER diagram, which of the following statements is accurate and requires specific knowledge of the ER diagram's details? A: A Student can major in multiple Departments. B: An Instructor can belong to multiple Departments. C: A Course can be offered by multiple Departments. D: Enrollment records can link a Student to multiple Courses in a single semester. E: Each Course must be associated with an Enrollment record. F: A Department can offer courses without having any instructors.

	🧐 Question	🔧 Skill
	Medium Multi Select JOIN GROUP BY	2 mins SQL	Try practice test
Consider the following SQL table: How many rows does the following SQL query return?
	Medium nth highest sales Nested queries User Defined Functions	3 mins SQL	Try practice test
Consider the following SQL table: Which of the following SQL commands will find the ‘nth highest Sales’ if it exists (returns null otherwise)?
	Medium Select & IN Nested queries	3 mins SQL	Try practice test
Consider the following SQL table: Which of the following SQL queries would return the year when neither a football or cricket winner was chosen?
	Medium Sorting Ubers Nested queries Join Comparison operators	3 mins SQL	Try practice test
Consider the following SQL table: What will be the first two tuples resulting from the following SQL command?
	Hard With, AVG & SUM MAX() MIN() Aggregate functions	2 mins SQL	Try practice test
Consider the following SQL table: How many tuples does the following query return?
	Medium Data Merging Data Merging Conditional Logic	2 mins ETL	Try practice test
A data engineer is tasked with merging and transforming data from two sources for a business analytics report. Source 1 is a SQL database 'Employee' with fields EmployeeID (int), Name (varchar), DepartmentID (int), and JoinDate (date). Source 2 is a CSV file 'Department' with fields DepartmentID (int), DepartmentName (varchar), and Budget (float). The objective is to create a summary table that lists EmployeeID, Name, DepartmentName, and YearsInCompany. The YearsInCompany should be calculated based on the JoinDate and the current date, rounded down to the nearest whole number. Consider the following initial SQL query: Which of the following modifications ensures accurate data transformation as per the requirements? A: Change FLOOR to CEILING in the calculation of YearsInCompany. B: Add WHERE e.JoinDate IS NOT NULL before the JOIN clause. C: Replace JOIN with LEFT JOIN and use COALESCE(d.DepartmentName, 'Unknown'). D: Change the YearsInCompany calculation to YEAR(CURRENT_DATE) - YEAR(e.JoinDate). E: Use DATEDIFF(YEAR, e.JoinDate, CURRENT_DATE) for YearsInCompany calculation.
	Medium Data Updates Staging Data Warehouse	2 mins ETL	Try practice test
Jaylo is hired as Data warehouse engineer at Affflex Inc. Jaylo is tasked with designing an ETL process for loading data from SQL server database into a large fact table. Here are the specifications of the system: 1. Orders data from SQL to be stored in fact table in the warehouse each day with prior day’s order data 2. Loading new data must take as less time as possible 3. Remove data that is more then 2 years old 4. Ensure the data loads correctly 5. Minimize record locking and impact on transaction log Which of the following should be part of Jaylo’s ETL design? A: Partition the destination fact table by date B: Partition the destination fact table by customer C: Insert new data directly into fact table D: Delete old data directly from fact table E: Use partition switching and staging table to load new data F: Use partition switching and staging table to remove old data
	Medium SQL in ETL Process SQL Code Interpretation Data Transformation SQL Functions	3 mins ETL	Try practice test
In an ETL process designed for a retail company, a complex SQL transformation is applied to the 'Sales' table. The 'Sales' table has fields SaleID, ProductID, Quantity, SaleDate, and Price. The goal is to generate a report that shows the total sales amount and average sale amount per product, aggregated monthly. The following SQL code snippet is used in the transformation step: What specific function does this SQL code perform in the context of the ETL process, and how does it contribute to the reporting goal? A: The code calculates the total and average sales amount for each product annually. B: It aggregates sales data by month and product, computing total and average sales amounts. C: This query generates a daily breakdown of sales, both total and average, for each product. D: The code is designed to identify the best-selling products on a monthly basis by sales amount. E: It calculates the overall sales and average price per product, without considering the time dimension.
	Medium Trade Index Index	3 mins ETL	Try practice test
Silverman Sachs is a trading firm and deals with daily trade data for various stocks. They have the following fact table in their data warehouse: Table: Trades Indexes: None Columns: TradeID, TradeDate, Open, Close, High, Low, Volume Here are three common queries that are run on the data: Dhavid Polomon is hired as an ETL Developer and is tasked with implementing an indexing strategy for the Trades fact table. Here are the specifications of the indexing strategy: - All three common queries must use a columnstore index - Minimize number of indexes - Minimize size of indexes Which of the following strategies should Dhavid pick: A: Create three columnstore indexes: 1. Containing TradeDate and Close 2. Containing TradeDate, High and Low 3. Container TradeDate and Volume B: Create two columnstore indexes: 1. Containing TradeID, TradeDate, Volume and Close 2. Containing TradeID, TradeDate, High and Low C: Create one columnstore index that contains TradeDate, Close, High, Low and Volume D: Create one columnstore index that contains TradeID, Close, High, Low, Volume and Trade Date
	Easy Healthcare System Data Integrity Normalization Referential Integrity	2 mins Data Modeling	Try practice test
You are designing a data model for a healthcare system with the following requirements: A: A separate table for each entity with foreign keys as specified, and a DoctorPatient table linking Doctors to Patients. B: A separate table for each entity with foreign keys as specified, without additional tables. C: A combined PatientDoctor table replacing Patient and Doctor, and separate tables for Appointment and Prescription. D: A separate table for each entity with foreign keys, and a PatientPrescription table to track prescriptions directly linked to patients. E: A single table combining Patient, Doctor, Appointment, and Prescription into one. F: A separate table for each entity with foreign keys as specified, and an AppointmentDetails table linking Appointments to Prescriptions.
	Hard ER Diagram and minimum tables ER Diagram	2 mins Data Modeling	Try practice test
Look at the given ER diagram. What do you think is the least number of tables we would need to represent M, N, P, R1 and R2?
	Medium Normalization Process Normalization Database Design Anomaly Elimination	3 mins Data Modeling	Try practice test
Consider a healthcare database with a table named PatientRecords that stores patient visit information. The table has the following attributes: - VisitID - PatientID - PatientName - DoctorID - DoctorName - VisitDate - Diagnosis - Treatment - TreatmentCost In this table: - Each VisitID uniquely identifies a patient's visit and is associated with one PatientID. - PatientID is associated with exactly one PatientName. - Each DoctorID is associated with a unique DoctorName. - TreatmentCost is a fixed cost based on the Treatment. Evaluating the PatientRecords table, which of the following statements most accurately describes its normalization state and the required actions for higher normalization? A: The table is in 1NF. To achieve 2NF, remove partial dependencies by separating Patient information (PatientID, PatientName) and Doctor information (DoctorID, DoctorName) into different tables. B: The table is in 2NF. To achieve 3NF, remove transitive dependencies by creating separate tables for Patients (PatientID, PatientName), Doctors (DoctorID, DoctorName), and Visits (VisitID, PatientID, DoctorID, VisitDate, Diagnosis, Treatment, TreatmentCost). C: The table is in 3NF. To achieve BCNF, adjust for functional dependencies such as moving DoctorName to a separate Doctors table. D: The table is in 1NF. To achieve 3NF, create separate tables for Patients, Doctors, and Visits, and remove TreatmentCost as it is a derived attribute. E: The table is in 2NF. To achieve 4NF, address any multi-valued dependencies by separating Visit details and Treatment details. F: The table is in 3NF. To achieve 4NF, remove multi-valued dependencies related to VisitID.
	Medium University Courses ER Diagrams Complex Relationships Integrity Constraints	2 mins Data Modeling	Try practice test
Based on the ER diagram, which of the following statements is accurate and requires specific knowledge of the ER diagram's details? A: A Student can major in multiple Departments. B: An Instructor can belong to multiple Departments. C: A Course can be offered by multiple Departments. D: Enrollment records can link a Student to multiple Courses in a single semester. E: Each Course must be associated with an Enrollment record. F: A Department can offer courses without having any instructors.

	🧐 Question	🔧 Skill	💪 Difficulty	⌛ Time
	Multi Select JOIN GROUP BY	SQL	Medium	2 mins	Try practice test
Consider the following SQL table: How many rows does the following SQL query return?
	nth highest sales Nested queries User Defined Functions	SQL	Medium	3 mins	Try practice test
Consider the following SQL table: Which of the following SQL commands will find the ‘nth highest Sales’ if it exists (returns null otherwise)?
	Select & IN Nested queries	SQL	Medium	3 mins	Try practice test
Consider the following SQL table: Which of the following SQL queries would return the year when neither a football or cricket winner was chosen?
	Sorting Ubers Nested queries Join Comparison operators	SQL	Medium	3 mins	Try practice test
Consider the following SQL table: What will be the first two tuples resulting from the following SQL command?
	With, AVG & SUM MAX() MIN() Aggregate functions	SQL	Hard	2 mins	Try practice test
Consider the following SQL table: How many tuples does the following query return?
	Data Merging Data Merging Conditional Logic	ETL	Medium	2 mins	Try practice test
A data engineer is tasked with merging and transforming data from two sources for a business analytics report. Source 1 is a SQL database 'Employee' with fields EmployeeID (int), Name (varchar), DepartmentID (int), and JoinDate (date). Source 2 is a CSV file 'Department' with fields DepartmentID (int), DepartmentName (varchar), and Budget (float). The objective is to create a summary table that lists EmployeeID, Name, DepartmentName, and YearsInCompany. The YearsInCompany should be calculated based on the JoinDate and the current date, rounded down to the nearest whole number. Consider the following initial SQL query: Which of the following modifications ensures accurate data transformation as per the requirements? A: Change FLOOR to CEILING in the calculation of YearsInCompany. B: Add WHERE e.JoinDate IS NOT NULL before the JOIN clause. C: Replace JOIN with LEFT JOIN and use COALESCE(d.DepartmentName, 'Unknown'). D: Change the YearsInCompany calculation to YEAR(CURRENT_DATE) - YEAR(e.JoinDate). E: Use DATEDIFF(YEAR, e.JoinDate, CURRENT_DATE) for YearsInCompany calculation.
	Data Updates Staging Data Warehouse	ETL	Medium	2 mins	Try practice test
Jaylo is hired as Data warehouse engineer at Affflex Inc. Jaylo is tasked with designing an ETL process for loading data from SQL server database into a large fact table. Here are the specifications of the system: 1. Orders data from SQL to be stored in fact table in the warehouse each day with prior day’s order data 2. Loading new data must take as less time as possible 3. Remove data that is more then 2 years old 4. Ensure the data loads correctly 5. Minimize record locking and impact on transaction log Which of the following should be part of Jaylo’s ETL design? A: Partition the destination fact table by date B: Partition the destination fact table by customer C: Insert new data directly into fact table D: Delete old data directly from fact table E: Use partition switching and staging table to load new data F: Use partition switching and staging table to remove old data
	SQL in ETL Process SQL Code Interpretation Data Transformation SQL Functions	ETL	Medium	3 mins	Try practice test
In an ETL process designed for a retail company, a complex SQL transformation is applied to the 'Sales' table. The 'Sales' table has fields SaleID, ProductID, Quantity, SaleDate, and Price. The goal is to generate a report that shows the total sales amount and average sale amount per product, aggregated monthly. The following SQL code snippet is used in the transformation step: What specific function does this SQL code perform in the context of the ETL process, and how does it contribute to the reporting goal? A: The code calculates the total and average sales amount for each product annually. B: It aggregates sales data by month and product, computing total and average sales amounts. C: This query generates a daily breakdown of sales, both total and average, for each product. D: The code is designed to identify the best-selling products on a monthly basis by sales amount. E: It calculates the overall sales and average price per product, without considering the time dimension.
	Trade Index Index	ETL	Medium	3 mins	Try practice test
Silverman Sachs is a trading firm and deals with daily trade data for various stocks. They have the following fact table in their data warehouse: Table: Trades Indexes: None Columns: TradeID, TradeDate, Open, Close, High, Low, Volume Here are three common queries that are run on the data: Dhavid Polomon is hired as an ETL Developer and is tasked with implementing an indexing strategy for the Trades fact table. Here are the specifications of the indexing strategy: - All three common queries must use a columnstore index - Minimize number of indexes - Minimize size of indexes Which of the following strategies should Dhavid pick: A: Create three columnstore indexes: 1. Containing TradeDate and Close 2. Containing TradeDate, High and Low 3. Container TradeDate and Volume B: Create two columnstore indexes: 1. Containing TradeID, TradeDate, Volume and Close 2. Containing TradeID, TradeDate, High and Low C: Create one columnstore index that contains TradeDate, Close, High, Low and Volume D: Create one columnstore index that contains TradeID, Close, High, Low, Volume and Trade Date
	Healthcare System Data Integrity Normalization Referential Integrity	Data Modeling	Easy	2 mins	Try practice test
You are designing a data model for a healthcare system with the following requirements: A: A separate table for each entity with foreign keys as specified, and a DoctorPatient table linking Doctors to Patients. B: A separate table for each entity with foreign keys as specified, without additional tables. C: A combined PatientDoctor table replacing Patient and Doctor, and separate tables for Appointment and Prescription. D: A separate table for each entity with foreign keys, and a PatientPrescription table to track prescriptions directly linked to patients. E: A single table combining Patient, Doctor, Appointment, and Prescription into one. F: A separate table for each entity with foreign keys as specified, and an AppointmentDetails table linking Appointments to Prescriptions.
	ER Diagram and minimum tables ER Diagram	Data Modeling	Hard	2 mins	Try practice test
Look at the given ER diagram. What do you think is the least number of tables we would need to represent M, N, P, R1 and R2?
	Normalization Process Normalization Database Design Anomaly Elimination	Data Modeling	Medium	3 mins	Try practice test
Consider a healthcare database with a table named PatientRecords that stores patient visit information. The table has the following attributes: - VisitID - PatientID - PatientName - DoctorID - DoctorName - VisitDate - Diagnosis - Treatment - TreatmentCost In this table: - Each VisitID uniquely identifies a patient's visit and is associated with one PatientID. - PatientID is associated with exactly one PatientName. - Each DoctorID is associated with a unique DoctorName. - TreatmentCost is a fixed cost based on the Treatment. Evaluating the PatientRecords table, which of the following statements most accurately describes its normalization state and the required actions for higher normalization? A: The table is in 1NF. To achieve 2NF, remove partial dependencies by separating Patient information (PatientID, PatientName) and Doctor information (DoctorID, DoctorName) into different tables. B: The table is in 2NF. To achieve 3NF, remove transitive dependencies by creating separate tables for Patients (PatientID, PatientName), Doctors (DoctorID, DoctorName), and Visits (VisitID, PatientID, DoctorID, VisitDate, Diagnosis, Treatment, TreatmentCost). C: The table is in 3NF. To achieve BCNF, adjust for functional dependencies such as moving DoctorName to a separate Doctors table. D: The table is in 1NF. To achieve 3NF, create separate tables for Patients, Doctors, and Visits, and remove TreatmentCost as it is a derived attribute. E: The table is in 2NF. To achieve 4NF, address any multi-valued dependencies by separating Visit details and Treatment details. F: The table is in 3NF. To achieve 4NF, remove multi-valued dependencies related to VisitID.
	University Courses ER Diagrams Complex Relationships Integrity Constraints	Data Modeling	Medium	2 mins	Try practice test
Based on the ER diagram, which of the following statements is accurate and requires specific knowledge of the ER diagram's details? A: A Student can major in multiple Departments. B: An Instructor can belong to multiple Departments. C: A Course can be offered by multiple Departments. D: Enrollment records can link a Student to multiple Courses in a single semester. E: Each Course must be associated with an Enrollment record. F: A Department can offer courses without having any instructors.

Reason #4

1200+ customers in 75 countries

Met Adaface konden we ons eerste screeningproces met ruim 75% optimaliseren, waardoor kostbare tijd vrijkwam voor zowel de rekruteringsmanagers als ons talentacquisitieteam!

Brandon Lee, Hoofd Mensen, Love, Bonito

Try practice test

Start 14-day free trial

Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Teradata online test in your hiring process is that it is an elimination tool, not a selection tool. In other words: you want to use the test to eliminate the candidates who do poorly on the test, not to select the candidates who come out at the top. While they are super valuable, pre-employment tests do not paint the entire picture of a candidate’s abilities, knowledge, and motivations. Multiple easy questions are more predictive of a candidate's ability than fewer hard questions. Harder questions are often "trick" based questions, which do not provide any meaningful signal about the candidate's skillset.

Science behind Adaface tests

Reason #6

1 click candidate invites

Email invites: You can send candidates an email invite to the Teradata online test from your dashboard by entering their email address.

Public link: You can create a public link for each test that you can share with candidates.

API or integrations: You can invite candidates directly from your ATS by using our pre-built integrations with popular ATS systems or building a custom integration with your in-house ATS.

Reason #7

Detailed scorecards & benchmarks

Bekijk Sample Scorecard

Try practice test

Start 14-day free trial

Reason #8

High completion rate

Adaface tests are conversational, low-stress, and take just 25-40 mins to complete.

This is why Adaface has the highest test-completion rate (86%), which is more than 2x better than traditional assessments.

Reason #9

Advanced Proctoring

Learn more

Preview this test

Bekijk Sample Scorecard

About the Teradata Assessment Test

Why you should use Pre-employment Teradata online test?

The Teradata online test makes use of scenario-based questions to test for on-the-job skills as opposed to theoretical knowledge, ensuring that candidates who do well on this screening test have the relavant skills. The questions are designed to covered following on-the-job aspects:

Teradata -databasebeheer en -administratie
SQL Query -optimalisatie en afstemming van prestaties
ETL ontwerp en implementatie
Gegevensmodellering en database -ontwerp
Data -analyse en rapportage
Gegevensintegratie en consolidatie
Gegevensmigratie en transformatie
Teradata -hulpprogramma's en tools vaardigheid
Inzicht in en implementeren van teradata -beveiliging
Het ontwikkelen en onderhouden van Teradata Data Warehouse

Once the test is sent to a candidate, the candidate receives a link in email to take the test. For each candidate, you will receive a detailed report with skills breakdown and benchmarks to shortlist the top candidates from your pool.

What topics are covered in the Teradata online test?

sql
sql (Structured Query Language) is een programmeertaal die wordt gebruikt om relationele databases te beheren en te manipuleren. Hiermee kunnen gebruikers gegevens uit een database ophalen, invoegen, bijwerken en verwijderen. Het meten van SQL -vaardigheden in de test is belangrijk omdat het een essentiële taal is voor interactie met teradata en het uitvoeren van verschillende databasebewerkingen.
databasebeheer
databasebeheer omvat de taken met betrekking tot ontwerpen, organiseren, organiseren, organiseren en databases onderhouden. Het omvat activiteiten zoals het maken en beheren van databaseschema's, het optimaliseren van databaseprestaties, het waarborgen van gegevensintegriteit en het implementeren van beveiligingsmaatregelen. Deze vaardigheid moet in de test worden gemeten om het vermogen van kandidaten om databases effectief te beheren en te beheren te evalueren.
etl
ETL (extract, transformeren, laden) is het proces van het extraheren van gegevens uit het extraheren van gegevens uit Verschillende bronnen, het transformeren in een geschikt formaat en het laden in een doeldatabase of datawarehouse. Het is een essentiële vaardigheid om in de test te meten, omdat het het vermogen van kandidaten aantoont om gegevensintegratie, gegevensreiniging en gegevenskwaliteit tijdens het ETL -proces te verwerken.
datamodellering
Gegevensmodellering is het proces van het creëren van een conceptuele weergave van gegevensstructuren, relaties en beperkingen ter ondersteuning van efficiënt en nauwkeurig gegevensbeheer. Het meten van gegevensmodelleringsvaardigheden in de test is cruciaal omdat het het vermogen van kandidaten om logische en fysieke gegevensmodellen te ontwerpen die aansluiten bij de bedrijfsvereisten en de consistentie en integriteit bevorderen, beoordeelt.
Data Analytics
Gegevensanalyse omvat het analyseren en interpreteren van grote hoeveelheden gegevens om inzichten, trends en patronen aan het licht te brengen die de zakelijke besluitvorming kunnen stimuleren. Het vereist vaardigheden in statistische analyse, datavisualisatie en datamining. Het meten van gegevensanalysevaardigheden in de test is belangrijk omdat het het vermogen van kandidaten beoordeelt om zinvolle inzichten af te leiden uit gegevens met behulp van verschillende analysetechnieken.
data -integratie
Gegevensintegratie verwijst naar het combinatieproces Gegevens uit verschillende bronnen en het bieden van gebruikers een uniforme weergave van de geïntegreerde gegevens. Het omvat het extraheren, transformeren en laden van gegevens van ongelijksoortige systemen in een geconsolideerde gegevensrepository. Het meten van gegevensintegratievaardigheden in de test is cruciaal omdat het het vermogen van kandidaten evalueert om complexe gegevensintegratiescenario's te verwerken, gegevensconsistentie te garanderen en problemen met gegevenskwaliteit te verminderen.
Data Migration
Gegevensmigratie is het proces van het overbrengen van gegevens van het ene systeem naar het andere, meestal tijdens systeemupgrades of overgangen. Het omvat het extraheren van gegevens uit het bronsysteem, het transformeren in een compatibel formaat en het laden in het doelsysteem. Het meten van gegevensmigratievaardigheden in de test is belangrijk omdat het het vermogen van kandidaten om gegevensmigratieactiviteiten te plannen, uit te voeren en te valideren, te valideren en tegelijkertijd gegevensnauwkeurigheid, volledigheid en integriteit te waarborgen.
Full list of covered topics
The actual topics of the questions in the final test will depend on your job description and requirements. However, here's a list of topics you can expect the questions for Teradata online test to be based on.
Teradata
Sql
Database management
ETL
Datamodellering
Data Analytics
Gegevens integratie
Data migratie
Teradata -hulpprogramma's
Teradata System Administration
Teradata -database -back -up en herstel
Teradata parallelle verwerkingsarchitectuur
Teradata Data Warehouse Appliance
Teradata -back -up- en herstelprocedures
Teradata Multiload
Teradata Fastload
Teradata querygrid
Teradata queryband
Teradata Data Dictionary
Teradata Metadata Management
Teradata -gezichtspunt
Teradata Data Mover
Teradata -database gebruikers en rollen
Teradata Index Wizard
Teradata SQL -assistent
Teradata Workload Management
Teradata Query Optimalisatie
Teradata tpump
Teradata TPT
Teradata logisch gegevensmodel
Teradata fysiek datamodel
Teradata Presto
Teradata Compressietechnieken
Teradata -gegevensopslagopties
Teradata Bteq
Teradata Fastexport
Teradata Daemon -programma's
Teradata -hulpprogramma's
Teradata geospatiale gegevens
Teradata Data Lineage
Teradata -impactanalyse
Teradata Unity
Teradata Unity Director
Teradata SQL Query -optimalisatie
Teradata SQL -referentie
Teradata Database Administration
Teradata Data Archiving
Teradata -gegevensbehoud
Teradata ODBC -stuurprogramma
Teradata JDBC Driver
Teradata -gegevens voor het laden van gegevens
Teradata -gegevensbeweging problemen
Teradata Statistics Wizard
Teradata -databaseontwerp
Teradata -gegevensreplicatie
Teradata -gegevenssynchronisatie
Teradata LOB -gegevenstypen
Teradata Data Marts
Teradata Data Warehouses
Teradata Studio
Teradata Database Query Scheduler
Teradata -gegevensmaskering
Teradata -gegevensanonimisatie
Teradata beveiligde zones
Teradata -tools en hulpprogramma's
Teradata database capaciteitsplanning
Teradata Performance Tuning
Teradata SQL Formatter
Teradata QueryGrid Manager
Teradata Data Access Control
Teradata -autorisatie
Teradata Data Mover
Teradata ET en LT
Teradata -database -back -up
Teradata Database Restore
Teradata System Emulation Tool
Teradata audit
Teradata -gegevenskwaliteit
Teradata Data Governance
Teradata parallelle gegevenspomp
Teradata multi-system manager
Teradata -gegevensintegratie
Teradata Metadata Services
Teradata Data Lab
Teradata -capaciteitsplanning
Teradata -systeemprestatiebewaking
Teradata JDBC -provider
Teradata ODBC -stuurprogramma
Teradata -gegevensreplicatie
Teradata -gegevenssynchronisatie
Teradata Data Dictionary
Teradata gegevensbescherming
Teradata -gegevensvirtualisatie
Teradata analytische functies
Teradata AppCenter
Teradata XML Services
Teradata -database -upgrade
Teradata -database -patching
Teradata -vraag herschrijven
Teradata Query Optimalisatie
Teradata Active System Management
Teradata Remote Console
Teradata Data Security
Teradata -gegevensprivacy
Teradata Ecosystem Manager
Teradata Unity Data Mover
Teradata -gegevenscodering
Teradata Key Management
Teradata Secure Enterprise Search
Teradata -portefeuille voor Hadoop
Teradata Data Warehouse Architecture
Teradata -gegevensprivacy
Teradata Data Stream Utility
Teradata -gegevenscompressie
Teradata Data Archiving

Try practice test

Start 14-day free trial

What roles can I use the Teradata online test for?

Teradata -databasebeheerder
Teradata Technical Specialist
ETL -ontwikkelaar
Developer
Gegevensintegratiespecialist
Gegevensmigratiespecialist

How is the Teradata online test customized for senior candidates?

For intermediate/ experienced candidates, we customize the assessment questions to include advanced topics and increase the difficulty level of the questions. This might include adding questions on topics like

Database -indexering en partitionering
Teradata SQL -syntaxis en functies
Teradata -bestandssysteem en opslagbeheer
Gegevenskwaliteitsmanagement en governance
Teradata -back -up- en herstelprocedures
Problemen met het analyseren en probleemoplossen van de prestatieproblemen van Teradata
ETL -taakplanning en automatisering
Gegevensmodelleringsmethoden en best practices
Data warehousing concepten en architectuur
Teradata -systeemprestatiebewaking en optimalisatie

Preview this test

Bekijk Sample Scorecard

De rekruteringsmanagers waren van mening dat ze door de technische vragen die ze tijdens de panelgesprekken stelden, konden zien welke kandidaten beter scoorden, en onderscheidden ze zich met degenen die niet zo goed scoorden. Zij zijn zeer tevreden met de kwaliteit van de kandidaten op de shortlist van de Adaface-screening.

85%

Vermindering van de screeningstijd

Bekijk volledige case study

Teradata Hiring Test Veelgestelde vragen

Kan ik meerdere vaardigheden combineren in één aangepaste beoordeling?

Ja absoluut. Aangepaste beoordelingen zijn opgezet op basis van uw functiebeschrijving en bevatten vragen over alle must-have vaardigheden die u opgeeft.

Heeft u functies tegen latere of proctoring op hun plaats?

We hebben de volgende anti-cheating-functies op zijn plaats:

Niet-googelbare vragen
IP Proctoring
Web Proctoring
Webcam Proctoring
Plagiaatdetectie
Beveilig browser

Lees meer over de Proctoring -functies.

Hoe interpreteer ik testscores?

Het belangrijkste om in gedachten te houden is dat een beoordeling een eliminatietool is, geen selectietool. Een vaardighedenbeoordeling is geoptimaliseerd om u te helpen kandidaten te elimineren die niet technisch gekwalificeerd zijn voor de rol, het is niet geoptimaliseerd om u te helpen de beste kandidaat voor de rol te vinden. Dus de ideale manier om een beoordeling te gebruiken is om een drempelscore te bepalen (meestal 55%, wij helpen u benchmark) en alle kandidaten uit te nodigen die boven de drempel scoren voor de volgende interviewrondes.

Voor welk ervaringsniveau kan ik deze test gebruiken?

Elke ADAFACE -beoordeling is aangepast aan uw functiebeschrijving/ ideale kandidaatpersonage (onze experts van het onderwerp zullen de juiste vragen kiezen voor uw beoordeling uit onze bibliotheek van 10000+ vragen). Deze beoordeling kan worden aangepast voor elk ervaringsniveau.

Krijgt elke kandidaat dezelfde vragen?

Ja, het maakt het veel gemakkelijker voor u om kandidaten te vergelijken. Opties voor MCQ -vragen en de volgorde van vragen worden gerandomiseerd. We hebben anti-cheating/proctoring functies. In ons bedrijfsplan hebben we ook de optie om meerdere versies van dezelfde beoordeling te maken met vragen over vergelijkbare moeilijkheidsniveaus.