Teradata Teste online

About the test:

O teste on-line da Teradata usa o MCQS baseado em cenário para avaliar os candidatos em seu conhecimento do banco de dados Teradata, consultas SQL, ajuste de desempenho, modelagem de dados, arquitetura de banco de dados e conceitos de data warehousing. Além disso, o teste avalia a proficiência de um candidato nos utilitários de Teradata, o Teradata Parallel Transporter (TPT) e o Teradata Querygrid. O teste visa avaliar a capacidade de um candidato de projetar, desenvolver e manter bancos de dados Teradata de maneira eficiente e eficaz.

Covered skills:

Teradata
Gerenciamento de banco de dados
Modelagem de dados
Integração de dados
Teradata Utilities

SQL
ETL
Análise de dados
Migração de dados

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9 reasons why

Adaface Teradata Teste online is the most accurate way to shortlist Administrador de banco de dados Teradatas

Reason #1

Tests for on-the-job skills

The Teradata Teste online 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:

Capacidade de projetar e otimizar bancos de dados Teradata
Proficiência em SQL e Data Manipulation Language (DML)
Conhecimento dos processos e ferramentas de ETL
Experiência em modelagem e design de dados
Capacidade de analisar e interpretar dados
Conhecimento de utilitários de teradata e ajuste de desempenho
Entendimento da integração e migração de dados
Habilidades fortes em gerenciamento de banco de dados Teradata
Proficiência na sintaxe e funções de Teradata SQL
Capacidade de realizar análises de dados usando Teradata
Conhecimento de conceitos de data warehousing
Familiaridade com a estrutura de governança de dados da Teradata
Capacidade de escrever consultas SQL eficientes
Compreensão da segurança de dados e práticas recomendadas de privacidade
Experiência em Administração do Sistema Teradata
Capacidade de solucionar e resolver problemas de banco de dados Teradata
Conhecimento da arquitetura de processamento paralelo de Teradata
Entendimento do Appliance Teradata Data Warehouse
Experiência em procedimentos de backup e recuperação de Teradata
Capacidade de trabalhar com Teradata Teradata Multiload e FastLoad
Conhecimento de Teradata Teradata Querygrid e Queryband
Compreensão do dicionário de dados de Teradata e gerenciamento de metadados
Experiência em Teradata Teradata Ponto de vista e motor de dados
Capacidade de criar e gerenciar usuários e funções de banco de dados Teradata
Conhecimento de Teradata Teradata Índice Assistente de Índice e Teradata SQL Assistente
Compreensão do gerenciamento de carga de trabalho e otimização de consultas da Teradata
Experiência em Teradata Teradata Tpump e TPT (Teradata Parallel Transporter)
Capacidade de executar a modelagem de dados usando os modelos de dados lógicos e físicos da Teradata
Conhecimento de Teradata Teradata Presto
Compreensão das técnicas de compressão da Teradata e opções de armazenamento de dados
Experiência em Teradata Teradata Bteq e FastExport
Capacidade de trabalhar com os programas e utilitários da Teradata Teradatad
Conhecimento de Teradata Teradata Tipos e funções geoespaciais de dados
Compreensão da linhagem de dados de Teradata e análise de impacto
Experiência em Teradata Teradata Unidade e Diretor de Unidade
Capacidade de ajustar e otimizar as consultas Teradata SQL e o desempenho do banco de dados
Conhecimento de Teradata Teradata SQL Referência e Teradata Database Administration
Compreensão do arquivamento de dados e retenção de dados de Teradata
Experiência em drivers Teradata Teradata ODBC e JDBC
Capacidade de solucionar e identificar problemas de carregamento de dados de teradata e movimento de dados
Conhecimento do Assistente de Estatísticas Teradata Teradata e Teradata Database Design
Compreensão da replicação de dados e sincronização de dados da Teradata
Experiência em Teradata Teradata LOB Tipos de dados e funções
Capacidade de projetar e implementar Teradata Data Marts e Data Warehouses
Conhecimento do Teradata Teradata Studio e Teradata Database Consulta Scheduler
Compreensão do mascaramento de dados e do anonimato de dados de Teradata
Experiência em Teradata Teradata Zonas Seguras e Teradata e Utilitários
Capacidade de executar o planejamento da capacidade do banco de dados Teradata e ajuste de desempenho
Conhecimento do Teradata Teradata SQL Formatter e Teradata Querygrid Manager
Compreensão do controle de acesso de dados da Teradata e autorização
Experiência em Teradata Teradata Data Mover e Teradata ET e LT
Capacidade de executar procedimentos de backup e restauração do banco de dados Teradata
Conhecimento da ferramenta de emulação do sistema teradata teradata e auditoria teradata
Compreensão da qualidade dos dados de Teradata e iniciativas de governança de dados
Experiência em Teradata Teradata Parallel Data Pump e Teradata Multi-System Manager
Capacidade de projetar e implementar soluções de integração de dados Teradata
Conhecimento dos Serviços de Metadados Teradata Teradata e Teradata Data Lab
Compreensão do planejamento de capacidade de Teradata e monitoramento de desempenho do sistema
Experiência em Teradata Teradata JDBC Provedor e Teradata ODBC Driver
Capacidade de solucionar e resolver problemas de replicação e sincronização de dados de teradata
Conhecimento do Teradata Teradata Dictionary e Teradata Protection Data Protection
Compreensão da virtualização de dados de Teradata e funções analíticas
Experiência em Teradata Teradata AppCenter e Teradata XML Services
Capacidade de executar a atualização do banco de dados Teradata e procedimentos de patches
Conhecimento do Teradata Teradata Gerenciamento de banco de dados e Teradata Database Administration
Compreensão da consulta de Teradata e técnicas de otimização de consultas
Experiência em Teradata Teradata Gerenciamento de sistemas ativos e console remoto Teradata
Capacidade de projetar e implementar mecanismos de segurança e privacidade Teradata
Conhecimento do Teradata Teradata Gerente do ecossistema e Teradata Unity Data Mover
Compreensão da criptografia de dados da Teradata e Gerenciamento de Chaves
Experiência em Teradata Teradata Search Search Enterprise e portfólio Teradata para Hadoop
Capacidade de configurar e gerenciar arquitetura de data warehouse de Teradata
Conhecimento de Teradata Teradata Data Privacidade e Teradata Data Stream Utility
Compreensão da compactação de dados da Teradata e estratégias de arquivamento de dados

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

Estes são apenas uma pequena amostra da nossa biblioteca de mais de 10.000 perguntas. As perguntas reais sobre isso Teradata Teste online será não-googleable.

🧐 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

Com o Adaface, conseguimos otimizar nosso processo de seleção inicial em mais de 75%, liberando um tempo precioso tanto para os gerentes de contratação quanto para nossa equipe de aquisição de talentos!

Brandon Lee, Chefe de Pessoas, Love, Bonito

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Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Teradata Teste online 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 Teste online 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 Teste online

Why you should use Teradata Teste online?

The Teradata Teste online 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:

Gerenciamento e administração do banco de dados Teradata
Otimização da consulta SQL e ajuste de desempenho
Design e implementação ETL
Modelagem de dados e design de banco de dados
Análise de dados e relatórios
Integração e consolidação de dados
Migração de dados e transformação
Teradata Utilitários e Proficiência em Ferramentas
Entendendo e implementando a segurança de teradata
Desenvolvendo e mantendo 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 Teste online?

sql
SQL (Linguagem de consulta estruturada) é uma linguagem de programação usada para gerenciar e manipular bancos de dados relacionais. Ele permite que os usuários recuperem, insira, atualizem e excluam dados de um banco de dados. Medir as habilidades SQL no teste é importante, pois é uma linguagem essencial para interagir com o Teradata e executar várias operações de banco de dados. e manutenção de bancos de dados. Ele inclui atividades como criar e gerenciar esquemas de banco de dados, otimizar o desempenho do banco de dados, garantir a integridade dos dados e implementar medidas de segurança. Essa habilidade deve ser medida no teste para avaliar a capacidade dos candidatos de gerenciar e administrar bancos de dados de maneira eficaz. Várias fontes, transformando -o em um formato adequado e carregando -o em um banco de dados de destino ou data warehouse. É uma habilidade essencial para medir no teste, pois demonstra a capacidade dos candidatos de lidar com a integração de dados, a limpeza de dados e a qualidade dos dados durante o processo ETL.
Modelagem de dados
Modelagem de dados é o processo de criação de uma representação conceitual de estruturas, relacionamentos e restrições de dados para apoiar o gerenciamento de dados eficiente e preciso. A medição das habilidades de modelagem de dados no teste é crucial, pois avalia a capacidade dos candidatos de projetar modelos de dados lógicos e físicos que se alinham aos requisitos de negócios e promover a consistência e a integridade dos dados.
Analytics de dados
A análise de dados envolve analisar e interpretar grandes volumes de dados para descobrir insights, tendências e padrões que podem impulsionar a tomada de decisões de negócios. Requer habilidades em análise estatística, visualização de dados e mineração de dados. A medição das habilidades de análise de dados no teste é importante, pois avalia a capacidade dos candidatos de derivar informações significativas dos dados usando várias técnicas de análise. dados de diferentes fontes e fornecendo aos usuários uma visão unificada dos dados integrados. Envolve extrair, transformar e carregar dados de sistemas díspares em um repositório de dados consolidado. A medição das habilidades de integração de dados no teste é crucial, pois avalia a capacidade dos candidatos de lidar com cenários complexos de integração de dados, garantir a consistência dos dados e mitigar problemas de qualidade dos dados.
migração de dados
Migração de dados é o processo de transferência de dados de um sistema para outro, normalmente durante atualizações ou transições do sistema. Envolve extrair dados do sistema de origem, transformá -los em um formato compatível e carregá -los no sistema de destino. A medição das habilidades de migração de dados no teste é importante, pois avalia a capacidade dos candidatos de planejar, executar e validar as atividades de migração de dados, garantindo a precisão, a integridade e a integridade dos dados. > Os utilitários da Teradata são um conjunto de ferramentas e utilitários fornecidos pelo Teradata para várias tarefas de gerenciamento e processamento de dados. Esses utilitários incluem FastLoad, Multiload, FastExport e muito mais. A medição das habilidades de utilitários de Teradata no teste é relevante, pois avalia a familiaridade e proficiência dos candidatos no uso dessas ferramentas para aprimorar o carregamento de dados, extração de dados e recursos de processamento de dados.
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 Teste online to be based on.
Teradata
SQL
Gerenciamento de banco de dados
ETL
Modelagem de dados
Análise de dados
Integração de dados
Migração de dados
Teradata Utilities
Administração do sistema Teradata
Backup e recuperação do banco de dados Teradata
Arquitetura de processamento paralelo de teradata
Teradata Data Warehouse Appliance
Procedimentos de backup e recuperação de Teradata
Teradata Multiload
Teradata Fastload
Teradata Querygrid
Teradata Queryband
Dicionário de dados de Teradata
Teradata Metadata Management
Teradata Viewpoint
Teradata Data Mover
Usuários e funções de banco de dados Teradata
Assistente de índice de Teradata
Teradata SQL Assistente
Gerenciamento de carga de trabalho de Teradata
Teradata Otimização da consulta
Teradata tpump
Teradata TPT
Modelo de dados lógicos de Teradata
Teradata Modelo de dados físicos
Teradata Presto
Técnicas de compressão de Teradata
Opções de armazenamento de dados Teradata
Teradata bteq
Teradata FastExport
Programas Teradata Daemon
Programas de utilitário Teradata
Teradata Dados geoespaciais
Teradata Data Lineage
Análise de Impacto de Teradata
Teradata Unidade
Teradata Diretor de Unidade
Teradata SQL Otimização de consulta
Teradata SQL Referência
Administração de banco de dados Teradata
Teradata Data Archiving
Teradata Retenção de dados
Teradata ODBC Driver
Teradata JDBC Driver
Problemas de carregamento de dados de teradata
Problemas de movimento de dados Teradata
Assistente de estatísticas de Teradata
Teradata Database Design
Teradata Replicação de dados
Teradata Data Sincronization
Teradata LOB Tipos de dados
Teradata Data Marts
Teradata Data Warehouses
Teradata Studio
Teradata Database Consulta Scheduler
Teradata Data Masking
Teradata Data Anonynation
Teradata Zonas seguras
Teradata Tools and Utilities
Planejamento de capacidade do banco de dados Teradata
Teradata Tuning Performance
Teradata SQL Formatter
Teradata Querygrid Manager
Controle de acesso a dados Teradata
Autorização de Teradata
Teradata Data Mover
Teradata et e LT
Backup de banco de dados Teradata
Restauração do banco de dados Teradata
Ferramenta de emulação do sistema Teradata
Auditoria de Teradata
Teradata Qualidade de dados
Teradata Data Governança
Teradata Parallel Data Bomba
Teradata Multi-System Manager
Teradata Data Integration
Serviços de metadados de Teradata
Teradata Data Lab
Teradata Planejamento de capacidade
Monitoramento de desempenho do sistema Teradata
Provedor de Teradata JDBC
Teradata ODBC Driver
Teradata Replicação de dados
Teradata Data Sincronization
Dicionário de dados de Teradata
Teradata Proteção de dados
Virtualização de dados Teradata
Funções analíticas de Teradata
Teradata AppCenter
Serviços Teradata XML
Atualização do banco de dados Teradata
Teradata Database Patching
Reescrita da consulta de Teradata
Teradata Otimização da consulta
Teradata Active System Management
Teradata Console Remote
Teradata Data Security
Teradata Data Privacy
Teradata Ecossistema Gerente
Teradata Unity Data Mover
Teradata Criptografia de dados
Teradata Key Management
Teradata Secure Enterprise Search
Portfólio Teradata para Hadoop
Teradata Data Warehouse Architecture
Teradata Data Privacy
Utilitário de fluxo de dados Teradata
Teradata Compressão de dados
Teradata Data Archiving

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What roles can I use the Teradata Teste online for?

Administrador de banco de dados Teradata
Teradata Especialista Técnico
Desenvolvedor ETL
Desenvolvedor de data warehouse
Especialista em integração de dados
Especialista em migração de dados

How is the Teradata Teste online 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

Indexação e particionamento de banco de dados
Teradata SQL Sintaxe e funções
Sistema de arquivos Teradata e gerenciamento de armazenamento
Gerenciamento da qualidade dos dados e governança
Procedimentos de backup e recuperação de Teradata
Analisando e solucionando problemas de teradata problemas de desempenho
ETL Programação de trabalho e automação
Metodologias de modelagem de dados e práticas recomendadas
Data Warehousing Concepts and Architecture
Monitoramento e otimização do desempenho do sistema Teradata

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Os gerentes de contratação sentiram que, por meio das perguntas técnicas feitas durante as entrevistas do painel, foram capazes de dizer quais candidatos tiveram melhores pontuações e diferenciaram aqueles que não tiveram pontuações tão boas. Eles são altamente satisfeito com a qualidade dos candidatos selecionados na triagem Adaface.

85%

Redução no tempo de triagem

Veja o estudo de caso completo

Teradata Teste online Perguntas frequentes

Posso combinar várias habilidades em uma avaliação personalizada?

Sim absolutamente. As avaliações personalizadas são configuradas com base na descrição do seu trabalho e incluirão perguntas sobre todas as habilidades obrigatórias que você especificar.

Você tem algum recurso anti-trapaça ou procurador?

Temos os seguintes recursos anti-trapaça:

Perguntas não-goleadas
IP Proctoring
Web Proctoring
Proctoring da webcam
Detecção de plágio
navegador seguro

Leia mais sobre os Recursos de Proctoring.

Como interpreto as pontuações dos testes?

O principal a ter em mente é que uma avaliação é uma ferramenta de eliminação, não uma ferramenta de seleção. Uma avaliação de habilidades é otimizada para ajudá -lo a eliminar os candidatos que não são tecnicamente qualificados para o papel, não é otimizado para ajudá -lo a encontrar o melhor candidato para o papel. Portanto, a maneira ideal de usar uma avaliação é decidir uma pontuação limite (normalmente 55%, ajudamos você a comparar) e convidar todos os candidatos que pontuam acima do limiar para as próximas rodadas da entrevista.

Para que nível de experiência posso usar este teste?

Cada avaliação do Adaface é personalizada para a descrição do seu trabalho/ persona do candidato ideal (nossos especialistas no assunto escolherão as perguntas certas para sua avaliação de nossa biblioteca de mais de 10000 perguntas). Esta avaliação pode ser personalizada para qualquer nível de experiência.

Todo candidato recebe as mesmas perguntas?

Sim, facilita muito a comparação de candidatos. As opções para perguntas do MCQ e a ordem das perguntas são randomizadas. Recursos anti-traking/proctoring no local. Em nosso plano corporativo, também temos a opção de criar várias versões da mesma avaliação com questões de níveis de dificuldade semelhantes.