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 Database Management and Administration SQL Query Optimization and Performance Tuning ETL -design og implementering Datamodellering og databasedesign Dataanalyse og rapportering Dataintegrasjon og konsolidering Data migrasjon og transformasjon Teradata verktøy og verktøy for verktøy Forstå og implementere Teradata Security Utvikle og vedlikeholde Teradata Data Warehouse

Teradata online test

About the test:

Teradata Online-testen bruker scenariobaserte MCQ-er for å evaluere kandidater om sin kunnskap om Teradata-database, SQL-spørsmål, ytelsesinnstilling, datamodellering, databasearkitektur og datavarehus. I tillegg evaluerer testen en kandidats ferdighet i Teradata Utilities, Teradata Parallel Transporter (TPT) og Teradata QueryGrid. Testen tar sikte på å vurdere en kandidats evne til å designe, utvikle og vedlikeholde Teradata -databaser effektivt og effektivt.

Covered skills:

Teradata
Database ledelse
Datamodellering
Dataintegrasjon
Teradata -verktøy

SQL
Etl
Dataanalyse
Data migrasjon

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9 reasons why

Adaface Teradata Test is the most accurate way to shortlist Teradata Database Administrators

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:

Evne til å designe og optimalisere Teradata -databaser
Kompetanse i SQL og Data Manipulation Language (DML)
Kunnskap om ETL -prosesser og verktøy
Erfaring med datamodellering og design
Evne til å analysere og tolke data
Kunnskap om Teradata -verktøy og ytelsesinnstilling
Forståelse av dataintegrasjon og migrasjon
Sterke ferdigheter i Teradata Database Management
Kompetanse i Teradata SQL -syntaks og funksjoner
Evne til å utføre dataanalyse ved hjelp av Teradata
Kunnskap om datavarehuskonsepter
Kjennskap til Teradatas rammeverk for datastyring
Evne til å skrive effektive SQL -spørsmål
Forståelse av datasikkerhet og beste praksis for personvern
Erfaring i Teradata System Administration
Evne til å feilsøke og løse Teradata -databaseproblemer
Kunnskap om Teradata Parallel Processing Architecture
Forståelse av Teradata Data Warehouse Appliance
Erfaring med prosedyrer for Teradata -sikkerhetskopiering og gjenoppretting
Evne til å jobbe med Teradata Teradata Multiload and Fast Load
Kunnskap om Teradata Teradata QueryGrid og QueryBand
Forståelse av Teradatas dataordbok og metadataadministrasjon
Erfaring med Teradata Teradata Viewpoint og Data Mover
Evne til å opprette og administrere Teradata -databasebrukere og roller
Kunnskap om Teradata Teradata Index Wizard og Teradata SQL Assistant
Forståelse av Teradatas arbeidsmengdehåndtering og spørringsoptimalisering
Erfaring i Teradata Teradata Tpump og TPT (Teradata Parallel Transporter)
Evne til å utføre datamodellering ved hjelp av Teradatas logiske og fysiske datamodeller
Kunnskap om Teradata Teradata Presto
Forståelse av Teradatas kompresjonsteknikker og datalagringsalternativer
Erfaring i Teradata Teradata Bteq og FastExport
Evne til å jobbe med Teradata Teradatad Daemon -programmer og verktøy
Kunnskap om Teradata Teradata Geospatiale datatyper og funksjoner
Forståelse av Teradatas dataminje og påvirkningsanalyse
Erfaring i Teradata Teradata Unity and Unity Director
Evne til å stille inn og optimalisere Teradata SQL -spørsmål og databaseytelse
Kunnskap om Teradata Teradata SQL Reference og Teradata Database Administration
Forståelse av Teradatas dataarkivering og dataoppbevaring
Erfaring med Teradata Teradata ODBC og JDBC -drivere
Evne til å feilsøke og identifisere Teradata Data Loading and Data Movement Problems
Kunnskap om Teradata Teradata Statistics Wizard and Teradata Database Design
Forståelse av Teradatas datas replikasjon og datasynkronisering
Erfaring med Teradata Teradata LOB -datatyper og funksjoner
Evne til å designe og implementere Teradata Data Marts og datavarehus
Kunnskap om Teradata Teradata Studio og Teradata Database Query Scheduler
Forståelse av Teradatas datamasking og anonymisering av data
Erfaring med Teradata Teradata sikre soner og Teradata -verktøy og verktøy
Evne til å utføre Teradata Database Capacity Planning and Performance Tuning
Kunnskap om Teradata Teradata SQL Formatter og Teradata QuergGrid Manager
Forståelse av Teradatas datakontroll og autorisasjon
Erfaring med Teradata Teradata Data Mover og Teradata ET og LT
Evne til å utføre Teradata Database Backup og gjenopprette prosedyrer
Kunnskap om Teradata Teradata System Emulation Tool og Teradata Audit
Forståelse av Teradatas datakvalitet og datastyringsinitiativer
Erfaring i Teradata Teradata Parallel Data Pump og Teradata Multi-System Manager
Evne til å designe og implementere Teradata Data Integration Solutions
Kunnskap om Teradata Teradata Metadata Services og Teradata Data Lab
Forståelse av Teradatas kapasitetsplanlegging og overvåking av systemytelse
Erfaring med Teradata Teradata JDBC -leverandør og Teradata ODBC -driver
Evne til å feilsøke og løse Teradata Data -replikasjons- og synkroniseringsproblemer
Kunnskap om Teradata Teradata Data Dictionary og Teradata Data Protection
Forståelse av Teradatas datavirtualisering og analytiske funksjoner
Erfaring i Teradata Teradata AppCenter og Teradata XML -tjenester
Evne til å utføre Teradata -databaseoppgradering og oppdateringsprosedyrer
Kunnskap om Teradata Teradata Database Management og Teradata Database Administration
Forståelse av Teradatas spørsmål om omskriving og spørringsoptimaliseringsteknikker
Erfaring i Teradata Teradata Active System Management og Teradata Remote Console
Evne til å designe og implementere Teradata datasikkerhet og personvernmekanismer
Kunnskap om Teradata Teradata Ecosystem Manager og Teradata Unity Data Mover
Forståelse av Teradatas datakryptering og nøkkelstyring
Erfaring i Teradata Teradata Secure Enterprise Search og Teradata Portfolio for Hadoop
Evne til å konfigurere og administrere Teradata Data Warehouse Architecture
Kunnskap om Teradata Teradata Data Personvern og Teradata Data Stream Utility
Forståelse av Teradatas datakomprimering og arkiveringsstrategier

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

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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

Dette er bare en liten prøve fra biblioteket vårt med 10.000+ spørsmål. De faktiske spørsmålene om dette Teradata Online Test vil være ikke-googlable.

🧐 Question
Medium Multi Select JOIN GROUP BY	Solve
Consider the following SQL table: How many rows does the following SQL query return?
Medium nth highest sales Nested queries User Defined Functions	Solve
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	Solve
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	Solve
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	Solve
Consider the following SQL table: How many tuples does the following query return?
Medium Data Merging Data Merging Conditional Logic	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
Consider the following SQL table: How many tuples does the following query return?
	Medium Data Merging Data Merging Conditional Logic	2 mins ETL	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
Consider the following SQL table: How many tuples does the following query return?
	Data Merging Data Merging Conditional Logic	ETL	Medium	2 mins	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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

Med Adaface var vi i stand til å optimalisere den første screeningsprosessen vår med oppover 75 %, og frigjorde dyrebar tid for både ansettelsesledere og vårt talentanskaffelsesteam!

Brandon Lee, Leder for mennesker, Love, Bonito

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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

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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

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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 Database Management and Administration
SQL Query Optimization and Performance Tuning
ETL -design og implementering
Datamodellering og databasedesign
Dataanalyse og rapportering
Dataintegrasjon og konsolidering
Data migrasjon og transformasjon
Teradata verktøy og verktøy for verktøy
Forstå og implementere Teradata Security
Utvikle og vedlikeholde 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?

Teradata
Teradata er et kraftig relasjonell databasestyringssystem som er spesielt designet for å håndtere store datamengder. Det gir en skalerbar plattform for analyser med høy ytelse, datavarehus og databehandling i sanntid. Denne ferdigheten bør måles i testen for å sikre at kandidater har en sterk forståelse av hvordan de skal jobbe med Teradata, inkludert dens arkitektur, datamanipulering og ytelsesoptimalisering.
SQL
SQL (Structured Query Language) er et programmeringsspråk som brukes til å administrere og manipulere relasjonsdatabaser. Det lar brukere hente, sette inn, oppdatere og slette data fra en database. Å måle SQL -ferdigheter i testen er viktig, da det er et essensielt språk for å samhandle med Teradata og utføre forskjellige databaseoperasjoner.
Databaseadministrasjon
Databaseadministrasjon involverer oppgavene relatert til design, organisering , og vedlikeholde databaser. Det inkluderer aktiviteter som å lage og administrere databaseskjemaer, optimalisere databaseytelsen, sikre dataintegritet og implementere sikkerhetstiltak. Denne ferdigheten bør måles i testen for å evaluere kandidatenes evne til å administrere og administrere databaser effektivt.
ETL
etl (ekstrakt, transformasjon, belastning) er prosessen med å trekke ut data fra Ulike kilder, transformerer det til et passende format og laster det til en måldatabase eller datavarehus. Det er en essensiell ferdighet å måle i testen, da den demonstrerer kandidatenes evne til å håndtere dataintegrasjon, datarensing og datakvalitet under ETL -prosessen.
Datamodellering
Datamodellering er prosessen med å skape en konseptuell representasjon av datastrukturer, relasjoner og begrensninger for å støtte effektiv og nøyaktig datahåndtering. Måling av datamodelleringsevner i testen er avgjørende da den vurderer kandidatenes evne til å designe logiske og fysiske datamodeller som samsvarer med forretningskrav og fremme datakonsistens og integritet.
Dataanalyse
Dataanalyse innebærer å analysere og tolke store datamengder for å avdekke innsikt, trender og mønstre som kan drive forretningsavgjørelse. Det krever ferdigheter i statistisk analyse, datavisualisering og data mining. Måling av dataanalyseferdigheter i testen er viktig, da den vurderer kandidatenes evne til å utlede meningsfull innsikt fra data ved bruk Data fra forskjellige kilder og gi brukerne et enhetlig syn på de integrerte dataene. Det innebærer å trekke ut, transformere og laste inn data fra forskjellige systemer til et konsolidert dataregistrering. Måling av dataintegrasjonsevner i testen er avgjørende da den evaluerer kandidatenes evne til å håndtere komplekse dataintegrasjonsscenarier, sikre datakonsistens og redusere datakvalitetsproblemer.
Data migrasjon
Data migrasjon er prosessen med å overføre data fra et system til et annet, vanligvis under systemoppgraderinger eller overganger. Det innebærer å trekke ut data fra kildesystemet, transformere det til et kompatibelt format og laste det inn i målsystemet. Å måle datamigrasjonsevner i testen er viktig, da den vurderer kandidatenes evne til å planlegge, utføre og validere datamigrasjonsaktiviteter, samtidig > Teradata -verktøy er et sett med verktøy og verktøy levert av Teradata for forskjellige datahåndtering og behandlingsoppgaver. Disse verktøyene inkluderer hurtiglast, multiload, FastExport og mer. Måling av Teradata Utilities -ferdigheter i testen er relevant, da den evaluerer kandidatenes kjennskap og ferdigheter i å bruke disse verktøyene for å forbedre databelastning, datautvinning og databehandlingsmuligheter.
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 ledelse
Etl
Datamodellering
Dataanalyse
Dataintegrasjon
Data migrasjon
Teradata -verktøy
Teradata System Administration
Teradata Database Backup and Recovery
Teradata Parallel Processing Architecture
Teradata Data Warehouse Appliance
Teradata sikkerhetskopiering og gjenopprettingsprosedyrer
Teradata multiload
Teradata Fastload
Teradata QueryGrid
Teradata Queryband
Teradata Data Dictionary
Teradata Metadata Management
Teradata synspunkt
Teradata Data Mover
Teradata -databasebrukere og roller
Teradata Index Wizard
Teradata SQL Assistant
Teradata arbeidsmengdehåndtering
Teradata -spørringsoptimalisering
Teradata tpump
Teradata tpt
Teradata logisk datamodell
Teradata fysisk datamodell
Teradata Presto
Teradata kompresjonsteknikker
Teradata datalagringsalternativer
Teradata Bteq
Teradata FastExport
Teradata Daemon -programmer
Teradata Utility -programmer
Teradata geospatiale data
Teradata Data Lineage
Teradata Impact Analyse
Teradata Unity
Teradata Unity Director
Teradata SQL Query Optimization
Teradata SQL Reference
Teradata Database Administration
Teradata Data Arkivering
Teradata dataoppbevaring
Teradata ODBC -sjåfør
Teradata JDBC -sjåfør
Teradata Data Loading Problemer
Teradata Data Movement Issues
Teradata Statistics Wizard
Teradata Database Design
Teradata Data Replication
Teradata Data -synkronisering
Teradata LOB -datatyper
Teradata Data Marts
Teradata Data Warehouses
Teradata Studio
Teradata Database Query Scheduler
Teradata Data Masking
Teradata -anonymisering av data
Teradata sikre soner
Teradata -verktøy og verktøy
Teradata databasekapasitetsplanlegging
Teradata Performance Tuning
Teradata SQL Formatter
Teradata QueryGrid Manager
Teradata Data Access Control
Teradata autorisasjon
Teradata Data Mover
Teradata ET og LT
Teradata Database Backup
Teradata Database Restore
Teradata System Emulation Tool
Teradata -revisjon
Teradata Datakvalitet
Teradata Data Styring
Teradata parallelle datapumpe
Teradata Multi-System Manager
Teradata dataintegrasjon
Teradata Metadata Services
Teradata Data Lab
Teradata kapasitetsplanlegging
Teradata System Performance Monitoring
Teradata JDBC -leverandør
Teradata ODBC -sjåfør
Teradata Data Replication
Teradata Data -synkronisering
Teradata Data Dictionary
Teradata databeskyttelse
Teradata Data Virtualization
Teradata analytiske funksjoner
Teradata AppCenter
Teradata XML -tjenester
Teradata -databaseoppgradering
Teradata Database Patching
Teradata Query -omskriving
Teradata -spørringsoptimalisering
Teradata Active System Management
Teradata fjernkonsoll
Teradata Data Security
Teradata Data Personvern
Teradata Ecosystem Manager
Teradata Unity Data Mover
Teradata Data -kryptering
Teradata Key Management
Teradata Secure Enterprise Search
Teradata portefølje for Hadoop
Teradata Data Warehouse Architecture
Teradata Data Personvern
Teradata Data Stream Utility
Teradata datakomprimering
Teradata Data Arkivering

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What roles can I use the Teradata online test for?

Teradata Database Administrator
Teradata teknisk spesialist
ETL -utvikler
Datavarehusutvikler
Dataintegrasjonsspesialist
Data migrasjonsspesialist

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

Databaseindeksering og partisjonering
Teradata SQL Syntax and Functions
Teradata -filsystem og lagringsadministrasjon
Datakvalitetsstyring og styring
Teradata sikkerhetskopiering og gjenopprettingsprosedyrer
Analyse og feilsøking av Teradata -ytelsesproblemer
ETL -jobbplanlegging og automatisering
Datamodelleringsmetodologier og beste praksis
Datavarehuskonsepter og arkitektur
Teradata System Performance Monitoring and Optimization

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Ansettelseslederne mente at de gjennom de tekniske spørsmålene de stilte under panelintervjuene, var i stand til å fortelle hvilke kandidater som scoret bedre, og differensierte med de som ikke skåret like godt. De er svært fornøyd med kvaliteten på kandidatene som er på listen med Adaface-screeningen.

85%

Reduksjon i screeningstid

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Teradata Hiring Test Vanlige spørsmål

Kan jeg kombinere flere ferdigheter til en tilpasset vurdering?

Ja absolutt. Tilpassede vurderinger er satt opp basert på stillingsbeskrivelsen din, og vil inneholde spørsmål om alle må-ha ferdigheter du spesifiserer.

Har du noen anti-juksende eller proktoreringsfunksjoner på plass?

Vi har følgende anti-juksede funksjoner på plass:

Ikke-googlable spørsmål
IP Proctoring
Nettproctoring
Webcam Proctoring
Deteksjon av plagiering
Sikker nettleser

Les mer om Proctoring -funksjonene.

Hvordan tolker jeg testresultater?

Den viktigste tingen å huske på er at en vurdering er et eliminasjonsverktøy, ikke et seleksjonsverktøy. En ferdighetsvurdering er optimalisert for å hjelpe deg med å eliminere kandidater som ikke er teknisk kvalifisert for rollen, det er ikke optimalisert for å hjelpe deg med å finne den beste kandidaten for rollen. Så den ideelle måten å bruke en vurdering på er å bestemme en terskelpoeng (vanligvis 55%, vi hjelper deg med å benchmark) og invitere alle kandidater som scorer over terskelen for de neste rundene med intervjuet.

Hvilken opplevelsesnivå kan jeg bruke denne testen til?

Hver ADAFACE -vurdering er tilpasset din stillingsbeskrivelse/ ideell kandidatperson (våre fageksperter vil velge de riktige spørsmålene for din vurdering fra vårt bibliotek med 10000+ spørsmål). Denne vurderingen kan tilpasses for ethvert opplevelsesnivå.

Får hver kandidat de samme spørsmålene?

Ja, det gjør det mye lettere for deg å sammenligne kandidater. Alternativer for MCQ -spørsmål og rekkefølgen på spørsmål er randomisert. Vi har anti-juksing/proctoring funksjoner på plass. I vår bedriftsplan har vi også muligheten til å lage flere versjoner av den samme vurderingen med spørsmål med lignende vanskelighetsnivåer.