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 -forespørgseloptimering og -præstationstuning ETL -design og implementering Datamodellering og databasedesign Dataanalyse og rapportering Dataintegration og konsolidering Datamigration og transformation Teradata -værktøjer og værktøjskompetence Forståelse og implementering af Teradata -sikkerhed Udvikling og vedligeholdelse af Teradata Data Warehouse

Teradata online test

About the test:

Teradata Online-testen bruger scenariebaserede MCQ'er til at evaluere kandidater om deres viden om Teradata-database, SQL-forespørgsler, performance-tuning, datamodellering, databasearkitektur og datalagringskoncepter. Derudover evaluerer testen en kandidats færdigheder i Teradata Utilities, Teradata Parallel Transporter (TPT) og Teradata QueryGrid. Testen sigter mod at vurdere en kandidats evne til at designe, udvikle og vedligeholde Teradata -databaser effektivt og effektivt.

Covered skills:

Teradata
Databasestyring
Datamodellering
Dataintegration
Teradata Utilities

SQL
ETL
Dataanalyse
Datamigration

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9 reasons why

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

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 at designe og optimere Teradata -databaser
Færdighed i SQL og Data Manipulation Language (DML)
Kendskab til ETL -processer og værktøjer
Erfaring med datamodellering og design
Evne til at analysere og fortolke data
Kendskab til Teradata Utilities og Performance Tuning
Forståelse af dataintegration og migration
Stærke færdigheder inden for Teradata -databasestyring
Færdigheder i Teradata SQL -syntaks og fungerer
Evne til at udføre dataanalyse ved hjælp af Teradata
Kendskab til datalagringskoncepter
Fortrolighed med Teradatas rammer for datastyring
Evne til at skrive effektive SQL -forespørgsler
Forståelse af datasikkerhed og bedste praksis for privatlivets fred
Erfaring i Teradata System Administration
Evne til fejlfinding og løsning af Teradata -databaseproblemer
Kendskab til Teradata Parallel Processing Architecture
Forståelse af Teradata Data Warehouse Appliance
Erfaring med Teradata -sikkerhedskopierings- og gendannelsesprocedurer
Evne til at arbejde med Teradata Teradata Multiload og FastLoad
Kendskab til Teradata Teradata QueryGrid og Queryband
Forståelse af Teradatas dataordbog og metadata -styring
Erfaring med Teradata Teradata synspunkt og datamover
Evne til at oprette og administrere Teradata -databasebrugere og roller
Kendskab til Teradata Teradata Index Wizard og Teradata SQL Assistant
Forståelse af Teradatas styring af arbejdsbelastning og optimering af forespørgsler
Erfaring med Teradata Teradata TPUMP og TPT (Teradata Parallel Transporter)
Evne til at udføre datamodellering ved hjælp af Teradatas logiske og fysiske datamodeller
Kendskab til Teradata Teradata Presto
Forståelse af Teradatas komprimeringsteknikker og datalagringsmuligheder
Erfaring med Teradata Teradata BTEQ og FastExport
Evne til at arbejde med Teradata Teradatad Daemon -programmer og værktøjer
Kendskab til Teradata Teradata geospatiale datatyper og funktioner
Forståelse af Teradatas datalinie og konsekvensanalyse
Erfaring med Teradata Teradata Unity and Unity Director
Evne til at indstille og optimere Teradata SQL -forespørgsler og databaseydelse
Kendskab til Teradata Teradata SQL Reference og Teradata Database Administration
Forståelse af Teradatas dataarkivering og dataopbevaring
Erfaring med Teradata Teradata ODBC og JDBC -drivere
Evne til at fejlfinde og identificere Teradata -dataindlæsning og databevægelsesproblemer
Kendskab til Teradata Teradata Statistik Guiden og Teradata -databasedesign
Forståelse af Teradatas datareplikation og datasynkronisering
Erfaring i Teradata Teradata LOB -datatyper og funktioner
Evne til at designe og implementere Teradata Data Marts and Data Warehouses
Kendskab til Teradata Teradata Studio og Teradata Database Query Scheduler
Forståelse af Teradatas datamaskering og anonymisering af data
Erfaring i Teradata Teradata Secure Zones og Teradata Tools and Utilities
Evne til at udføre Teradata -databasekapacitetsplanlægning og performance -tuning
Kendskab til Teradata Teradata SQL Formatter og Teradata QueryGrid Manager
Forståelse af Teradatas datatilgangskontrol og autorisation
Erfaring med Teradata Teradata Data Mover og Teradata et og LT
Evne til at udføre Teradata -database -sikkerhedskopiering og gendannelse af procedurer
Kendskab til Teradata Teradata System Emulation Tool og Teradata Revision
Forståelse af Teradatas datakvalitets- og datastyringsinitiativer
Erfaring med Teradata Teradata Parallel Data Pump og Teradata Multi-System Manager
Evne til at designe og implementere Teradata -dataintegrationsløsninger
Kendskab til Teradata Teradata Metadata Services og Teradata Data Lab
Forståelse af Teradatas kapacitetsplanlægning og overvågning af systempræstationer
Erfaring med Teradata Teradata JDBC -udbyder og Teradata ODBC -driver
Evne til fejlfinding og løsning af Teradata -datareplikation og synkroniseringsproblemer
Kendskab til Teradata Teradata Data Dictionary og Teradata databeskyttelse
Forståelse af Teradatas datavirtualisering og analytiske funktioner
Erfaring med Teradata Teradata AppCenter og Teradata XML Services
Evne til at udføre Teradata -databaseopgradering og patchingprocedurer
Kendskab til Teradata Teradata Database Management og Teradata Database Administration
Forståelse af Teradatas forespørgsel om omskrivning og forespørgselsoptimeringsteknikker
Erfaring i Teradata Teradata Active System Management og Teradata Remote Console
Evne til at designe og implementere Teradata -datasikkerhed og privatlivsmekanismer
Kendskab til Teradata Teradata Ecosystem Manager og Teradata Unity Data Mover
Forståelse af Teradatas datakryptering og nøglestyring
Erfaring med Teradata Teradata Secure Enterprise Search og Teradata Portefølje til Hadoop
Evne til at konfigurere og administrere Teradata Data Warehouse Architecture
Kendskab til Teradata Teradata Data Privacy og Teradata Data Stream Utility
Forståelse af Teradatas datakomprimering og dataarkiveringsstrategier

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 kun en lille prøve fra vores bibliotek med 10.000+ spørgsmål. De faktiske spørgsmål om dette Teradata online test vil være ikke-gåbart.

🧐 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 at optimere vores indledende screeningsproces med op mod 75 %, hvilket frigjorde kostbar tid for både ansættelsesledere og vores talentanskaffelsesteam!

Brandon Lee, Leder af 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 -forespørgseloptimering og -præstationstuning
ETL -design og implementering
Datamodellering og databasedesign
Dataanalyse og rapportering
Dataintegration og konsolidering
Datamigration og transformation
Teradata -værktøjer og værktøjskompetence
Forståelse og implementering af Teradata -sikkerhed
Udvikling og vedligeholdelse af 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 kraftfuldt relationel databasestyringssystem specifikt designet til at håndtere store mængder data. Det giver en skalerbar platform til analyse af højtydende, datalagring og realtid databehandling. Denne færdighed skal måles i testen for at sikre, at kandidater har en stærk forståelse af, hvordan man arbejder med Teradata, inklusive dens arkitektur, datamanipulation og præstationsoptimering.
sql
sql (Struktureret forespørgselssprog) er et programmeringssprog, der bruges til at styre og manipulere relationelle databaser. Det giver brugerne mulighed for at hente, indsætte, opdatere og slette data fra en database. Det er vigtigt at måle SQL -færdigheder i testen, da det er et vigtigt sprog til interaktion med Teradata og udførelse af forskellige databaseoperationer.
Databasestyring
Databasestyring involverer de opgaver, der er relateret til design, organisering og vedligeholdelse af databaser. Det inkluderer aktiviteter såsom oprettelse og styring af databaseskemaer, optimering af databasens ydelse, sikring af dataintegritet og implementering af sikkerhedsforanstaltninger. Denne færdighed skal måles i testen for at evaluere kandidaternes evne til at administrere og administrere databaser effektivt.
ETL </H4> <p> ETL (uddrag, transform, belastning) er processen med at udtrække data fra Forskellige kilder, der omdanner det til et passende format og indlæser det til en måldatabase eller datavarehus. Det er en vigtig færdighed at måle i testen, da det demonstrerer kandidaternes evne til at håndtere dataintegration, datarensning og datakvalitet under ETL -processen. </p> <h4> datamodellering
Datamodellering er processen med at skabe en konceptuel repræsentation af datastrukturer, forhold og begrænsninger til understøttelse af effektiv og nøjagtig datastyring. Måling af datamodelleringsevner i testen er afgørende, da den vurderer kandidaternes evne til at designe logiske og fysiske datamodeller, der er i overensstemmelse med forretningskrav og fremmer datakonsistens og integritet.
Dataanalyse </H4> <p> Dataanalyse involverer analyse og fortolkning af store mængder data for at afsløre indsigt, tendenser og mønstre, der kan drive forretningsbeslutning. Det kræver færdigheder i statistisk analyse, datavisualisering og datamining. Måling af dataanalysefærdigheder i testen er vigtige, da de vurderer kandidaternes evne til at udlede meningsfuld indsigt fra data ved hjælp af forskellige analyseteknikker. </p> <h4> dataintegration
Dataintegration henviser til processen med at kombinere Data fra forskellige kilder og giver brugerne en samlet visning af de integrerede data. Det involverer at udtrække, omdanne og indlæse data fra forskellige systemer til et konsolideret datalagring. Måling af dataintegrationsevner i testen er afgørende, da de evaluerer kandidaternes evne til at håndtere komplekse dataintegrationsscenarier, sikre datakonsistens og afbøde datakvalitetsproblemer.
Data Migration
Data Migration er processen med at overføre data fra et system til et andet, typisk under systemopgraderinger eller overgange. Det involverer at udtrække data fra kildesystemet, omdanne dem til et kompatibelt format og indlæse dem i målsystemet. Måling af datamigrationsevner i testen er vigtige, da den vurderer kandidaternes evne til at planlægge, udføre og validere datamigrationsaktiviteter, samtidig med at datanøjagtighed, fuldstændighed og integritet.
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
Databasestyring
ETL
Datamodellering
Dataanalyse
Dataintegration
Datamigration
Teradata Utilities
Teradata System Administration
Teradata -database -sikkerhedskopiering og gendannelse
Teradata Parallel Processing Architecture
Teradata Data Warehouse Appliance
Teradata -sikkerhedskopierings- og gendannelsesprocedurer
Teradata Multiload
Teradata FastLoad
Teradata QueryGrid
Teradata Queryband
Teradata Data Dictionary
Teradata Metadata Management
Teradata synspunkt
Teradata Data Mover
Teradata databasebrugere og roller
Teradata -indeks -guiden
Teradata SQL Assistent
Teradata Workload Management
Teradata -forespørgselsoptimering
Teradata tpump
Teradata tpt
Teradata logisk datamodel
Teradata fysisk datamodel
Teradata Presto
Teradata -komprimeringsteknikker
Teradata datalagringsmuligheder
Teradata BTEQ
Teradata FastExport
Teradata Daemon -programmer
Teradata Utility -programmer
Teradata geospatiale data
Teradata Data Lineage
Teradata Impact Analysis
Teradata Unity
Teradata Unity Director
Teradata SQL -forespørgseloptimering
Teradata SQL Reference
Teradata Database Administration
Teradata -dataarkivering
Teradata Data Retention
Teradata ODBC Driver
Teradata JDBC Driver
Teradata -dataindlæsningsproblemer
Teradata -databevægelsesproblemer
Teradata Statistik -guiden
Teradata -databasedesign
Teradata Data Replication
Teradata -datasynkronisering
Teradata LOB -datatyper
Teradata Data Marts
Teradata -datalager
Teradata Studio
Teradata Database Query Scheduler
Teradata -datamaskering
Teradata Data Anonymization
Teradata sikre zoner
Teradata -værktøjer og værktøjer
Teradata -databasekapacitetsplanlægning
Teradata Performance Tuning
Teradata SQL Formatter
Teradata QueryGrid Manager
Teradata Data Access Control
Teradata autorisation
Teradata Data Mover
Teradata et og LT
Teradata -database -sikkerhedskopi
Teradata Database Restore
Teradata System Emulation Tool
Teradata -revision
Teradata datakvalitet
Teradata Data Governance
Teradata Parallel Data Pump
Teradata Multi-System Manager
Teradata dataintegration
Teradata Metadata Services
Teradata Data Lab
Teradata kapacitetsplanlægning
Teradata System Performance Monitoring
Teradata JDBC -udbyder
Teradata ODBC Driver
Teradata Data Replication
Teradata -datasynkronisering
Teradata Data Dictionary
Teradata databeskyttelse
Teradata Data Virtualization
Teradata -analytiske funktioner
Teradata AppCenter
Teradata XML -tjenester
Teradata -databaseopgradering
Teradata -database -patching
Teradata -forespørgsel omskrivning
Teradata -forespørgselsoptimering
Teradata Active System Management
Teradata Remote Console
Teradata datasikkerhed
Teradata databeskyttelse
Teradata Ecosystem Manager
Teradata Unity Data Mover
Teradata -datakryptering
Teradata Key Management
Teradata Secure Enterprise Search
Teradata -portefølje til Hadoop
Teradata Data Warehouse Architecture
Teradata databeskyttelse
Teradata datastrømværktøj
Teradata -datakomprimering
Teradata -dataarkivering

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What roles can I use the Teradata online test for?

Teradata -databaseadministrator
Teradata teknisk specialist
ETL -udvikler
Data Warehouse Developer
Specialist i dataintegration
Specialist med datamigration

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 opdeling
Teradata SQL -syntaks og funktioner
Teradata filsystem og lagerstyring
Datakvalitetsstyring og regeringsførelse
Teradata -sikkerhedskopierings- og gendannelsesprocedurer
Analyse og fejlfinding af Teradata -præstationsproblemer
ETL -jobplanlægning og automatisering
Datamodelleringsmetoder og bedste praksis
Datalagringskoncepter og arkitektur
Teradata System Performance Monitoring and Optimization

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Ansættelseslederne mente, at de gennem de tekniske spørgsmål, som de stillede under panelinterviewene, var i stand til at fortælle, hvilke kandidater der havde bedre score og differentieret sig med dem, der ikke scorede så godt. De er meget tilfreds med kvaliteten af de kandidater, der er nomineret med Adaface-screeningen.

85%

Reduktion i screeningstid

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Teradata Hiring Test Ofte stillede spørgsmål

Kan jeg kombinere flere færdigheder i en brugerdefineret vurdering?

Ja absolut. Brugerdefinerede vurderinger er oprettet baseret på din jobbeskrivelse og vil omfatte spørgsmål om alle must-have-færdigheder, du angiver.

Har du nogen anti-cheating eller proctoring-funktioner på plads?

Vi har følgende anti-cheating-funktioner på plads:

Ikke-gåbare spørgsmål
IP Proctoring
Webproctoring
Webcam Proctoring
Detektion af plagiering
Sikker browser

Læs mere om Proctoring Features.

Hvordan fortolker jeg testresultater?

Den primære ting at huske på er, at en vurdering er et elimineringsværktøj, ikke et udvælgelsesværktøj. En færdighedsvurdering er optimeret for at hjælpe dig med at eliminere kandidater, der ikke er teknisk kvalificerede til rollen, den er ikke optimeret til at hjælpe dig med at finde den bedste kandidat til rollen. Så den ideelle måde at bruge en vurdering på er at beslutte en tærskelværdi (typisk 55%, vi hjælper dig med benchmark) og inviterer alle kandidater, der scorer over tærsklen for de næste interviewrunder.

Hvilken oplevelsesniveau kan jeg bruge denne test til?

Hver Adaface -vurdering tilpasses til din jobbeskrivelse/ ideel kandidatperson (vores emneeksperter vælger de rigtige spørgsmål til din vurdering fra vores bibliotek på 10000+ spørgsmål). Denne vurdering kan tilpasses til ethvert erfaringsniveau.

Får hver kandidat de samme spørgsmål?

Ja, det gør det meget lettere for dig at sammenligne kandidater. Valgmuligheder for MCQ -spørgsmål og rækkefølgen af spørgsmål randomiseres. Vi har anti-cheating/proctoring funktioner på plads. I vores virksomhedsplan har vi også muligheden for at oprette flere versioner af den samme vurdering med spørgsmål om lignende vanskelighedsniveauer.