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: Управление базами данных Teradata и администрирование базы данных Оптимизация запросов SQL и настройка производительности Дизайн и реализация ETL Моделирование данных и дизайн базы данных Аналитика данных и отчетность Интеграция данных и консолидация Миграция и преобразование данных Утилита и инструменты Teradata Понимание и реализация безопасности Teradata Разработка и поддержание хранилища данных Teradata

Teradata Online Test

About the test:

Онлайн-тест Teradata использует MCQ на основе сценариев для оценки кандидатов в их знаниях о базе данных Teradata, запросах SQL, настройке производительности, моделировании данных, архитектуре базы данных и концепциях складов данных. Кроме того, тест оценивает мастерство кандидата в утилитах Teradata, параллельном транспортере Teradata (TPT) и Teradata QueryGrid. Тест направлен на оценку способности кандидата в разработке, разработке и обслуживании баз данных Teradata эффективно и эффективно.

Covered skills:

Терадата
Управление базами данных
Моделирование данных
Интеграция данных
Утилиты Teradata

SQL
Etl
Аналитика данных
Перенос данных

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9 reasons why

Adaface Teradata Test is the most accurate way to shortlist Администратор базы данных Teradatas

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:

Возможность проектирования и оптимизации баз данных Teradata
Условное знание SQL и языка манипулирования данными (DML)
Знание процессов и инструментов ETL
Опыт моделирования и дизайна данных
Способность анализировать и интерпретировать данные
Знание коммунальных услуг и настройки производительности Teradata
Понимание интеграции данных и миграции
Сильные навыки в управлении базами данных Teradata
Условность синтаксиса и функций Teradata SQL
Возможность выполнять аналитику данных с использованием Teradata
Знание концепций хранилища данных
Знакомство с структурой управления данными Teradata
Возможность писать эффективные запросы SQL
Понимание безопасности данных и передовых практик конфиденциальности
Опыт работы в области системного администрирования Teradata
Возможность устранения неполадок и решения проблем с базой данных Teradata
Знание архитектуры параллельной обработки Teradata Parallel Processing
Понимание терадаты хранилища данных
Опыт работы с процедурами резервного копирования и восстановления Teradata
Возможность работать с Teradata Teradata Multiload and Fastload
Знание Teradata Teradata QueryGrid и запрос
Понимание словаря данных Teradata и управления метаданными
Опыт работы с точки зрения Teradata Teradata и двигателя данных
Возможность создавать и управлять пользователями базы данных Teradata и ролей
Знание Teradata Teradata Index Wizard и помощник Teradata SQL
Понимание управления рабочей нагрузкой Teradata и оптимизации запросов
Опыт работы с Teradata Teradata Tpump и TPT (Teradata Parallel Transporter)
Способность выполнять моделирование данных с использованием логических и физических данных Teradata
Знание Teradata teradata presto
Понимание методов сжатия Teradata и вариантов хранения данных
Опыт работы в Teradata Teradata Bteq и FastExport
Способность работать с программами и коммунальными услугами Teradata Teradatad Daemon
Знание Teradata Teradata Геопространственные типы и функции данных
Понимание линии данных Teradata и анализа воздействия
Опыт работы в Teradata Teradata Unity and Unity Director
Способность настраивать и оптимизировать запросы Teradata SQL и производительность базы данных
Знание Teradata Teradata SQL Ссылка и администрирование базы данных Teradata
Понимание архивирования данных и хранения данных Teradata
Опыт работы в Teradata Teradata ODBC и JDBC
Возможность устранения неполадок и идентификации проблем нагрузки данных Teradata и движения данных
Знание Teradata Teradata Statistics Wizard и дизайн базы данных Teradata
Понимание репликации данных Teradata и синхронизации данных
Опыт работы с Teradata Teradata LOB Типы и функции данных
Способность проектировать и реализовать марки данных и хранилища данных Teradata
Знание Teradata Teradata Studio и Teradata Database Pcheryler Query Scheduler
Понимание маскирования данных Teradata и анонимизации данных
Опыт работы в Teradata Teradata Secure Zones и Teradata Tools and Cutilities
Способность выполнять планирование потенциала базы данных Teradata и настройка производительности
Знание Teradata Teradata SQL Formatter и Teradata Querygrid Manager
Понимание контроля и авторизации доступа к данным Teradata
Опыт работы с данными Teradata Teradata и Teradata et и Lt
Возможность выполнять процедуры резервного копирования и восстановления базы данных Teradata
Знание инструмента эмуляции системы Teradata Teradata и аудита Teradata
Понимание инициативы по качеству данных и управлению данными Teradata
Опыт работы с Teradata Teradata Parallel Data Pump и Multi-System Teradata
Возможность проектирования и реализации решений интеграции данных Teradata
Знание Teradata Teradata Metadata Services и Lab Teradata Data Lab
Понимание планирования потенциала Teradata и мониторинга производительности системы
Опыт работы в Teradata Teradata JDBC Provider и Teradata ODBC Driver
Возможность устранения неполадок и разрешения вопросов репликации и синхронизации данных Teradata
Знание данных Teradata Teradata и защита данных Teradata
Понимание виртуализации и аналитических функций Teradata и аналитических функций
Опыт работы в Teradata Teradata Appcenter и Teradata XML Services
Возможность выполнять процедуры обновления базы данных Teradata и исправления
Знание управления базами данных Teradata Teradata и администрированием базы данных Teradata
Понимание методов переписывания и оптимизации запросов Teradata
Опыт работы с Teradata Teradata Active System Management и удаленная консоль Teradata
Возможность проектирования и реализации механизмов безопасности данных Teradata и конфиденциальности
Знание экосистемы Teradata Teradata Manager и Teradata Unity Maver
Понимание шифрования данных Teradata и управления ключами
Опыт работы с Teradata Teradata Secure Enterprise Search и портфелем Teradata для Hadoop
Возможность настройки и управления архитектурой хранилища данных Teradata
Знание Teradata Teradata Data Privacy и утилита потока данных Teradata
Понимание стратегий сжатия данных Teradata и архивирования данных

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

Это лишь небольшая выборка из нашей библиотеки из более чем более 10000 вопросов. Фактические вопросы по этому поводу Teradata Online Test будет не подлежащим гугливым.

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

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

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

Reason #4

1200+ customers in 75 countries

С помощью Adaface мы смогли оптимизировать первоначальный процесс отбора более чем на 75 %, высвободив драгоценное время как для менеджеров по найму, так и для нашей команды по привлечению талантов!

Brandon Lee, Глава отдела кадров, 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:

Управление базами данных Teradata и администрирование базы данных
Оптимизация запросов SQL и настройка производительности
Дизайн и реализация ETL
Моделирование данных и дизайн базы данных
Аналитика данных и отчетность
Интеграция данных и консолидация
Миграция и преобразование данных
Утилита и инструменты Teradata
Понимание и реализация безопасности Teradata
Разработка и поддержание хранилища данных Teradata

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 - это мощная система управления реляционной базой данных, специально предназначенная для обработки больших объемов данных. Он предоставляет масштабируемую платформу для высокопроизводительной аналитики, хранилища данных и обработки данных в реальном времени. Этот навык должен быть измерен в тесте, чтобы убедиться, что кандидаты имеют четкое понимание того, как работать с Teradata, включая ее архитектуру, манипулирование данными и оптимизация производительности.
sql
sql. (Структурированный язык запросов) - это язык программирования, используемый для управления и манипулирования реляционными базами данных. Это позволяет пользователям получать, вставлять, обновлять и удалять данные из базы данных. Измерение навыков SQL в тесте важно, так как он является важным языком для взаимодействия с Teradata и выполнением различных операций базы данных. и поддержание баз данных. Он включает в себя такие действия, как создание и управление схемами базы данных, оптимизация производительности базы данных, обеспечение целостности данных и реализация мер безопасности. Этот навык должен быть измерен в тесте, чтобы оценить способность кандидатов эффективно управлять и управлять базами данных. Различные источники, превращая его в подходящий формат и загружая его в целевую базу данных или хранилище данных. Это важный навык для измерения в тесте, поскольку он демонстрирует способность кандидатов обрабатывать интеграцию данных, очистку данных и качество данных во время процесса ETL.
Моделирование данных
Моделирование данных. Является ли процесс создания концептуального представления структур данных, отношений и ограничений для поддержки эффективного и точного управления данными. Измерение навыков моделирования данных в тесте имеет решающее значение, поскольку оценивает способность кандидатов разрабатывать логические и физические модели данных, которые соответствуют бизнес -требованиям и способствуют согласованности и целостности данных.
аналитика данных
Аналитика данных включает в себя анализ и интерпретацию больших объемов данных, чтобы раскрыть понимание, тенденции и модели, которые могут стимулировать принятие деловых решений. Это требует навыков в статистическом анализе, визуализации данных и интеллектуальном анализе данных. Измерение навыков анализа данных в тесте важно, поскольку оценивает способность кандидатов получать значимую информацию из данных с использованием различных методов анализа. Данные из разных источников и предоставление пользователям унифицированного представления интегрированных данных. Он включает в себя извлечение, преобразование и загрузку данных из разрозненных систем в консолидированный репозиторий данных. Измерение навыков интеграции данных в тесте имеет решающее значение, поскольку оценивает способность кандидатов обрабатывать сложные сценарии интеграции данных, обеспечить согласованность данных и смягчить проблемы качества данных.
Миграция данных
является процессом передачи данных из одной системы в другую, обычно во время обновления системы или переходов. Он включает в себя извлечение данных из исходной системы, преобразование их в совместимый формат и загрузку в целевую систему. Измерение навыков миграции данных в тесте важно, поскольку оценивает способность кандидатов планировать, выполнять и проверять деятельность по миграции данных при обеспечении точности, полноты и целостности данных.
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.
Терадата
SQL
Управление базами данных
Etl
Моделирование данных
Аналитика данных
Интеграция данных
Перенос данных
Утилиты Teradata
Системное администрирование Teradata
Резервное копирование базы данных Teradata и восстановление
Терадата параллельная обработка архитектура
Терадата -хранилище данных
Процедуры резервного копирования и восстановления Teradata
Teradata Multiload
Терадата Фастгрузка
Teradata QueryGrid
Teradata Queryband
Словарь данных Teradata
Управление метаданным Teradata
Teradata Viewpoint
Teradata Data Mover
Пользователи базы данных Teradata и роли
Teradata Index Wizard
Teradata SQL Assistant
Teradata Workload Management
Оптимизация запросов Teradata
Teradata tpump
Teradata tpt
Модель логических данных Teradata
Teradata Физические данные
Teradata Presto
Терадата методы сжатия
Параметры хранилища данных Teradata
Teradata Bteq
Teradata fastexport
Программы Deamonata Daemon
Коммунальные программы Teradata
Геопространственные данные Teradata
Teradata Data Lineage
Анализ воздействия Teradata
Терадата единство
Терадата Единство директор
Оптимизация запросов Teradata SQL
Teradata SQL Ссылка
Администрирование базы данных Teradata
Терадата Архивирование данных
Удержание данных Teradata
Teradata odbc драйвер
Teradata JDBC Driver
Проблемы с загрузкой данных Teradata
Проблемы движения данных Teradata
Teradata Statistics Wizard
Дизайн базы данных Teradata
Репликация данных Teradata
Синхронизация данных Teradata
Типы данных Teradata LOB
Teradata Data Marts
Teradata Data Gorauses
Teradata Studio
Планировщик запросов базы данных Teradata
Маскировка данных Teradata
Анонимизация данных Teradata
Teradata безопасные зоны
Teradata Инструменты и утилиты
Планирование потенциала базы данных Teradata
Teradata Performance Tuning
Teradata SQL Formatter
Teradata QueryGrid Manager
Контроль доступа к данным Teradata
Авторизация Teradata
Teradata Data Mover
Teradata et и lt
Бэк -копия базы данных Teradata
Teradata Batabase Restore
Инструмент эмуляции системы Teradata
Teradata Audit
Качество данных Teradata
Терадата управление данными
Параллельный насос данных Teradata
Teradata Multi-System Manager
Интеграция данных Teradata
Teradata Metadata Services
Teradata Data Lab
Планирование потенциала Teradata
Мониторинг производительности системы Teradata
Teradata JDBC -провайдер
Teradata odbc драйвер
Репликация данных Teradata
Синхронизация данных Teradata
Словарь данных Teradata
Терадата защита данных
Виртуализация данных Teradata
Аналитические функции Teradata
Teradata Appcenter
Teradata XML Services
Обновление базы данных Teradata
Патч базы данных Teradata
Teradata Запрос переписывания
Оптимизация запросов Teradata
Teradata Active Management System
Teradata Remote Console
Безопасность данных Teradata
Teradata Data Conficity
Teradata Ecosystem Manager
Teradata Unity Maver
Teradata Data Encryption
Управление ключами Teradata
Secure Enterprise Teradata
Портфолио Teradata для Hadoop
Архитектура хранилища данных Teradata
Teradata Data Conficity
Утилита потока данных Teradata
Сжатие данных Teradata
Терадата Архивирование данных

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What roles can I use the Teradata Online Test for?

Администратор базы данных Teradata
Терадата технический специалист
Разработчик ETL
Разработчик хранилища данных
Специалист по интеграции данных
Специалист по миграции данных

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

Индексация и разделение базы данных
Teradata SQL Syntax и функции
Файловая система Teradata и управление хранением
Управление качеством данных и управление
Процедуры резервного копирования и восстановления Teradata
Анализ и устранение неполадок.
Планирование и автоматизацию работы ETL
Методологии моделирования данных и лучшие практики
Собственные концепции данных и архитектура
Мониторинг и оптимизация производительности системы Teradata

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Менеджеры по найму чувствовали, что с помощью технических вопросов, которые они задавали во время групповых собеседований, они могли определить, какие кандидаты имеют более высокие баллы, и отличиться от тех, кто не набрал таких же баллов. Они есть очень доволен с качеством кандидатов, включенных в шорт-лист отбора Adaface.

85%

Сокращение времени проверки

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Teradata Hiring Test Часто задаваемые вопросы

Могу ли я объединить несколько навыков в одну пользовательскую оценку?

Да, конечно. Пользовательские оценки настроены на основе вашей должности и будут включать вопросы по всем необходимым навыкам, которые вы указываете.

Есть ли у вас какие-либо функции против Chating или Proctoring?

У нас есть следующие функции антихиализации:

Необъемлющие вопросы
IP Proctoring
Веб -прокторинг
Веб -камера Proctoring
Обнаружение плагиата
Безопасный браузер

Узнайте больше о функциях Proctoring.

Как мне интерпретировать результаты тестов?

Основная вещь, которую нужно помнить, это то, что оценка - это инструмент устранения, а не инструмент отбора. Оценка навыков оптимизирована, чтобы помочь вам устранить кандидатов, которые технически не имеют квалификации для этой роли, она не оптимизирована, чтобы помочь вам найти лучшего кандидата на роль. Таким образом, идеальный способ использования оценки - определить пороговый балл (обычно 55%, мы помогаем вам сравнить) и пригласить всех кандидатов, которые забивают выше порога для следующих раундов интервью.

На каком уровне опыта я могу использовать этот тест?

Каждая оценка Adaface настроена на ваш инструкции/ Идеальный кандидат (наши эксперты по предметам выберут правильные вопросы для вашей оценки из нашей библиотеки из 10000+ вопросов). Эта оценка может быть настроена для любого уровня опыта.

Каждый кандидат получает одинаковые вопросы?

Да, вам намного проще сравнить кандидатов. Варианты для вопросов MCQ и порядок вопросов рандомизированы. У нас есть против Chating/Proctoring. В нашем плане предприятия у нас также есть возможность создать несколько версий одной и той же оценки с вопросами аналогичных уровней сложности.