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Teradata Online Test

The Teradata Online Test uses scenario-based MCQs to evaluate candidates on their knowledge of Teradata Database, SQL queries, performance tuning, data modeling, database architecture, and data warehousing concepts. Additionally, the test evaluates a candidate's proficiency in Teradata utilities, Teradata Parallel Transporter (TPT), and Teradata QueryGrid. The test aims to assess a candidate's ability to design, develop and maintain Teradata databases efficiently and effectively.

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Screen candidates with a 35 mins test

Test duration:  ~ 35 mins
Difficulty level:  Moderate
Availability:  Available as custom test
Questions:
  • 7 Teradata MCQs
  • 3 SQL MCQs
  • 3 ETL MCQs
  • 3 Data Modeling MCQs
Covered skills:
Teradata
SQL
Database Management
ETL
Data Modeling
Data Analytics
Data Integration
Data Migration
Teradata Utilities
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Use the Teradata Test to shortlist qualified candidates

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:

  • Ability to design and optimize Teradata databases
  • Proficiency in SQL and data manipulation language (DML)
  • Knowledge of ETL processes and tools
  • Experience in data modeling and design
  • Ability to analyze and interpret data
  • Knowledge of Teradata utilities and performance tuning
  • Understanding of data integration and migration
  • Strong skills in Teradata database management
  • Proficiency in Teradata SQL syntax and functions
  • Ability to perform data analytics using Teradata
  • Knowledge of data warehousing concepts
  • Familiarity with Teradata's data governance framework
  • Ability to write efficient SQL queries
  • Understanding of data security and privacy best practices
  • Experience in Teradata system administration
  • Ability to troubleshoot and resolve Teradata database issues
  • Knowledge of Teradata parallel processing architecture
  • Understanding of Teradata data warehouse appliance
  • Experience in Teradata backup and recovery procedures
  • Ability to work with Teradata Teradata MultiLoad and FastLoad
  • Knowledge of Teradata Teradata QueryGrid and QueryBand
  • Understanding of Teradata's data dictionary and metadata management
  • Experience in Teradata Teradata Viewpoint and Data Mover
  • Ability to create and manage Teradata database users and roles
  • Knowledge of Teradata Teradata Index Wizard and Teradata SQL Assistant
  • Understanding of Teradata's workload management and query optimization
  • Experience in Teradata Teradata TPump and TPT (Teradata Parallel Transporter)
  • Ability to perform data modeling using Teradata's logical and physical data models
  • Knowledge of Teradata Teradata Presto
  • Understanding of Teradata's compression techniques and data storage options
  • Experience in Teradata Teradata BTEQ and FastExport
  • Ability to work with Teradata Teradatad daemon programs and utilities
  • Knowledge of Teradata Teradata Geospatial data types and functions
  • Understanding of Teradata's data lineage and impact analysis
  • Experience in Teradata Teradata Unity and Unity Director
  • Ability to tune and optimize Teradata SQL queries and database performance
  • Knowledge of Teradata Teradata SQL Reference and Teradata Database Administration
  • Understanding of Teradata's data archiving and data retention
  • Experience in Teradata Teradata ODBC and JDBC drivers
  • Ability to troubleshoot and identify Teradata data loading and data movement issues
  • Knowledge of Teradata Teradata Statistics Wizard and Teradata Database Design
  • Understanding of Teradata's data replication and data synchronization
  • Experience in Teradata Teradata LOB data types and functions
  • Ability to design and implement Teradata data marts and data warehouses
  • Knowledge of Teradata Teradata Studio and Teradata Database Query Scheduler
  • Understanding of Teradata's data masking and data anonymization
  • Experience in Teradata Teradata Secure Zones and Teradata Tools and Utilities
  • Ability to perform Teradata database capacity planning and performance tuning
  • Knowledge of Teradata Teradata SQL Formatter and Teradata QueryGrid Manager
  • Understanding of Teradata's data access control and authorization
  • Experience in Teradata Teradata Data Mover and Teradata ET and LT
  • Ability to perform Teradata database backup and restore procedures
  • Knowledge of Teradata Teradata System Emulation Tool and Teradata AUDIT
  • Understanding of Teradata's data quality and data governance initiatives
  • Experience in Teradata Teradata Parallel Data Pump and Teradata Multi-System Manager
  • Ability to design and implement Teradata data integration solutions
  • Knowledge of Teradata Teradata Metadata Services and Teradata Data Lab
  • Understanding of Teradata's capacity planning and system performance monitoring
  • Experience in Teradata Teradata JDBC Provider and Teradata ODBC Driver
  • Ability to troubleshoot and resolve Teradata data replication and synchronization issues
  • Knowledge of Teradata Teradata Data Dictionary and Teradata Data Protection
  • Understanding of Teradata's data virtualization and analytical functions
  • Experience in Teradata Teradata AppCenter and Teradata XML Services
  • Ability to perform Teradata database upgrade and patching procedures
  • Knowledge of Teradata Teradata Database Management and Teradata Database Administration
  • Understanding of Teradata's query rewriting and query optimization techniques
  • Experience in Teradata Teradata Active System Management and Teradata Remote Console
  • Ability to design and implement Teradata data security and privacy mechanisms
  • Knowledge of Teradata Teradata Ecosystem Manager and Teradata Unity Data Mover
  • Understanding of Teradata's data encryption and key management
  • Experience in Teradata Teradata Secure Enterprise Search and Teradata Portfolio for Hadoop
  • Ability to configure and manage Teradata data warehouse architecture
  • Knowledge of Teradata Teradata Data Privacy and Teradata Data Stream Utility
  • Understanding of Teradata's data compression and data archiving strategies
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Screen candidates with the highest quality 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

These are just a small sample from our library of 15,000+ questions. The actual questions on this Teradata Online Test will be non-googleable.

🧐 Question

Medium

Multi Select
JOIN
GROUP BY
Solve
Consider the following SQL table:
 image
How many rows does the following SQL query return?
 image

Medium

nth highest sales
Nested queries
User Defined Functions
Solve
Consider the following SQL table:
 image
Which of the following SQL commands will find the ‘nth highest Sales’ if it exists (returns null otherwise)?
 image

Medium

Select & IN
Nested queries
Solve
Consider the following SQL table:
 image
Which of the following SQL queries would return the year when neither a football or cricket winner was chosen?
 image

Medium

Sorting Ubers
Nested queries
Join
Comparison operators
Solve
Consider the following SQL table:
 image
What will be the first two tuples resulting from the following SQL command?
 image

Hard

With, AVG & SUM
MAX() MIN()
Aggregate functions
Solve
Consider the following SQL table:
 image
How many tuples does the following query return?
 image

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:
 image
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:
 image
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:
 image
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:
 image
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?
 image
 image
 image

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
 image
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

Medium

nth highest sales
Nested queries
User Defined Functions

3 mins

SQL
Solve

Medium

Select & IN
Nested queries

3 mins

SQL
Solve

Medium

Sorting Ubers
Nested queries
Join
Comparison operators

3 mins

SQL
Solve

Hard

With, AVG & SUM
MAX() MIN()
Aggregate functions

2 mins

SQL
Solve

Medium

Data Merging
Data Merging
Conditional Logic

2 mins

ETL
Solve

Medium

Data Updates
Staging
Data Warehouse

2 mins

ETL
Solve

Medium

SQL in ETL Process
SQL Code Interpretation
Data Transformation
SQL Functions

3 mins

ETL
Solve

Medium

Trade Index
Index

3 mins

ETL
Solve

Easy

Healthcare System
Data Integrity
Normalization
Referential Integrity

2 mins

Data Modeling
Solve

Hard

ER Diagram and minimum tables
ER Diagram

2 mins

Data Modeling
Solve

Medium

Normalization Process
Normalization
Database Design
Anomaly Elimination

3 mins

Data Modeling
Solve

Medium

University Courses
ER Diagrams
Complex Relationships
Integrity Constraints

2 mins

Data Modeling
Solve
🧐 Question🔧 Skill💪 Difficulty⌛ Time
Multi Select
JOIN
GROUP BY
SQL
Medium2 mins
Solve
nth highest sales
Nested queries
User Defined Functions
SQL
Medium3 mins
Solve
Select & IN
Nested queries
SQL
Medium3 mins
Solve
Sorting Ubers
Nested queries
Join
Comparison operators
SQL
Medium3 mins
Solve
With, AVG & SUM
MAX() MIN()
Aggregate functions
SQL
Hard2 mins
Solve
Data Merging
Data Merging
Conditional Logic
ETL
Medium2 mins
Solve
Data Updates
Staging
Data Warehouse
ETL
Medium2 mins
Solve
SQL in ETL Process
SQL Code Interpretation
Data Transformation
SQL Functions
ETL
Medium3 mins
Solve
Trade Index
Index
ETL
Medium3 mins
Solve
Healthcare System
Data Integrity
Normalization
Referential Integrity
Data Modeling
Easy2 mins
Solve
ER Diagram and minimum tables
ER Diagram
Data Modeling
Hard2 mins
Solve
Normalization Process
Normalization
Database Design
Anomaly Elimination
Data Modeling
Medium3 mins
Solve
University Courses
ER Diagrams
Complex Relationships
Integrity Constraints
Data Modeling
Medium2 mins
Solve

Test candidates on core Teradata Hiring Test topics

Teradata: Teradata is a powerful relational database management system specifically designed to handle large amounts of data. It provides a scalable platform for high-performance analytics, data warehousing, and real-time data processing. This skill should be measured in the test to ensure that candidates have a strong understanding of how to work with Teradata, including its architecture, data manipulation, and performance optimization.

SQL: SQL (Structured Query Language) is a programming language used to manage and manipulate relational databases. It allows users to retrieve, insert, update, and delete data from a database. Measuring SQL skills in the test is important as it is an essential language for interacting with Teradata and performing various database operations.

Database Management: Database management involves the tasks related to designing, organizing, and maintaining databases. It includes activities such as creating and managing database schemas, optimizing database performance, ensuring data integrity, and implementing security measures. This skill should be measured in the test to evaluate candidates' ability to manage and administer databases effectively.

ETL: ETL (Extract, Transform, Load) is the process of extracting data from various sources, transforming it into a suitable format, and loading it into a target database or data warehouse. It is an essential skill to measure in the test as it demonstrates candidates' ability to handle data integration, data cleansing, and data quality during the ETL process.

Data Modeling: Data modeling is the process of creating a conceptual representation of data structures, relationships, and constraints to support efficient and accurate data management. Measuring data modeling skills in the test is crucial as it assesses candidates' ability to design logical and physical data models that align with business requirements and promote data consistency and integrity.

Data Analytics: Data analytics involves analyzing and interpreting large volumes of data to uncover insights, trends, and patterns that can drive business decision-making. It requires skills in statistical analysis, data visualization, and data mining. Measuring data analytics skills in the test is important as it assesses candidates' ability to derive meaningful insights from data using various analysis techniques.

Data Integration: Data integration refers to the process of combining data from different sources and providing users with a unified view of the integrated data. It involves extracting, transforming, and loading data from disparate systems into a consolidated data repository. Measuring data integration skills in the test is crucial as it evaluates candidates' ability to handle complex data integration scenarios, ensure data consistency, and mitigate data quality issues.

Data Migration: Data migration is the process of transferring data from one system to another, typically during system upgrades or transitions. It involves extracting data from the source system, transforming it into a compatible format, and loading it into the target system. Measuring data migration skills in the test is important as it assesses candidates' ability to plan, execute, and validate data migration activities while ensuring data accuracy, completeness, and integrity.

Teradata Utilities: Teradata Utilities are a set of tools and utilities provided by Teradata for various data management and processing tasks. These utilities include FastLoad, MultiLoad, FastExport, and more. Measuring Teradata utilities skills in the test is relevant as it evaluates candidates' familiarity and proficiency in using these tools to enhance data loading, data extraction, and data processing capabilities.

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Have questions about the Teradata Hiring Test?

How does pricing work?

You can check out our pricing plans.

Can I customize the test?

Yes, absolutely. Custom assessments are set up within 48 hours based on your job description, and will include questions on all must-have skills you specify. Here's a quick guide on how you can request a custom test. You can also customize a test by uploading your own questions.

Can I combine multiple skills into one test?

Yes, absolutely. Custom assessments are set up based on your job description, and will include questions on all must-have skills you specify. Here's a quick guide on how you can request a custom test.

What roles can I use the Teradata Test for?

Here are few roles for which we recommend this test:

  • Teradata Database Administrator
  • Teradata Technical Specialist
  • ETL Developer
  • Data Warehouse Developer
  • Data Integration Specialist
  • Data Migration Specialist
Can I see a sample test, or do you have a free trial?

Yes!

The free trial includes one sample technical test (Java/ JavaScript) and one sample aptitude test that you will find in your dashboard when you sign up. You can use it to review the quality of questions and the candidate experience of giving a test on Adaface.

You can preview any of the 500+ tests and see the sample questions to decide if it would be a good fit for your requirements.

How do I interpret test scores?

The primary thing to keep in mind is that an assessment is an elimination tool, not a selection tool. A skills assessment is optimized to help you eliminate candidates who are not technically qualified for the role, it is not optimized to help you find the best candidate for the role. So the ideal way to use an assessment is to decide a threshold score (typically 55%, we help you benchmark) and invite all candidates who score above the threshold for the next rounds of interview.

I'm a candidate. Can I try a practice test?

No. Unfortunately, we do not support practice tests at the moment. However, you can use our sample questions for practice.

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