Teradata Online -Test

About the test:

Der Teradata Online-Test verwendet szenariobasierte MCQs, um Kandidaten über ihre Kenntnisse der Teradata-Datenbank, SQL-Abfragen, Leistungsstimmungen, Datenmodellierung, Datenbankarchitektur und Data Warehousing-Konzepte zu bewerten. Darüber hinaus bewertet der Test die Kenntnisse eines Kandidaten in Teradata -Versorgungsunternehmen, Teradata Parallel Transporter (TPT) und Teradata QueryGrid. Der Test zielt darauf ab, die Fähigkeit eines Kandidaten zu bewerten, Teradata -Datenbanken effizient und effektiv zu entwerfen, zu entwickeln und zu verwalten.

Covered skills:

Teradata
Datenbankmanagement
Datenmodellierung
Datenintegration
Teradata -Dienstprogramme

Sql
ETL
Datenanalyse
Datenmigration

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9 reasons why

Adaface Teradata Online -Test is the most accurate way to shortlist Teradata -Datenbankadministrators

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:

Fähigkeit, Teradata -Datenbanken zu entwerfen und zu optimieren
Kenntnisse in der SQL- und Datenmanipulationssprache (DML)
Kenntnis von ETL -Prozessen und -Tools
Erfahrung in der Datenmodellierung und -gestaltung
Fähigkeit, Daten zu analysieren und zu interpretieren
Kenntnisse über Teradata -Dienstprogramme und Leistungsstimmen
Verständnis der Datenintegration und Migration
Starke Fähigkeiten im Teradata -Datenbankmanagement
Kenntnisse in Teradata SQL -Syntax und Funktionen
Fähigkeit zur Durchführung von Datenanalysen mit teradata
Kenntnis von Data Warehousing -Konzepten
Vertrautheit mit dem Data Governance -Framework von Teradata
Fähigkeit, effiziente SQL -Abfragen zu schreiben
Verständnis der Datensicherheit und der Best Practices für Privatsphäre
Erfahrung in der Teradata -Systemverwaltung
Fähigkeit zur Fehlerbehebung und Lösung von Teradata -Datenbankproblemen
Kenntnis der teradata parallele Verarbeitungsarchitektur
Verständnis des Teradata Data Warehouse -Gerätes
Erfahrung in Teradata -Sicherungs- und Wiederherstellungsverfahren
Fähigkeit zur Arbeit mit Teradata Teradata Multiload und Fastload
Kenntnis von Teradata Teradata QueryGrid und QueryBand
Verständnis des Data Dictionary- und Metadata -Managements von Teradata
Erfahrung in Teradata Teradata Viewpoint und Data Mover
Fähigkeit, Teradata -Datenbankbenutzer und -Rollen zu erstellen und zu verwalten
Kenntnis von Teradata Teradata Index Assistent und Teradata SQL Assistant
Verständnis des Arbeitsload -Managements und der Abfrageoptimierung von Teradata
Erfahrung in Teradata Teradata Tpump und TPT (Teradata Parallel Transporter)
Fähigkeit, Datenmodellierung mithilfe der logischen und physikalischen Datenmodelle von Teradata durchzuführen
Kenntnis von Teradata Teradata Presto
Verständnis der Komprimierungstechniken und Datenspeicheroptionen von Teradata
Erfahrung in Teradata Teradata BTEQ und Fastexport
Fähigkeit zur Arbeit mit Teradata Teradatad -Dämon -Programmen und -Verträge
Kenntnis von Teradata Teradata Geospatial Datentypen und Funktionen
Verständnis der Datenlinie und Auswirkungsanalyse von Teradata
Erfahrung in Teradata Teradata Unity and Unity Director
Fähigkeit, Teradata SQL -Abfragen und Datenbankleistung zu stimmen und zu optimieren
Kenntnis der Teradata Teradata SQL Referenz und Teradata -Datenbankverwaltung
Verständnis der Datenarchivierung und Datenbindung von Teradata
Erfahrung in Teradata Teradata ODBC- und JDBC -Treibern
Fähigkeit zur Fehlerbehebung und Identifizierung von Teradata -Datenbelastung und Datenbewegungsproblemen
Kenntnis der Teradata Teradata Statistics Assistent und Teradata -Datenbankdesign
Verständnis der Datenreplikation und Datensynchronisation von Teradata
Erfahrung in Teradata Teradata -Lob -Datentypen und -funktionen
Fähigkeit, Teradata Data Marts und Data Warehouses zu entwerfen und zu implementieren
Kenntnis von Teradata Teradata Studio und Teradata Database Query Scheduler
Verständnis der Datenmaskierung und Datenanonymisierung von Teradata
Erfahrung in Teradata Teradata Secure -Zonen und Teradata -Tools und -versorgungsunternehmen
Fähigkeit zur Durchführung von Teradata -Datenbankkapazitätsplanung und Leistungsstimmung
Kenntnis von Teradata Teradata SQL Formatierer und Teradata QueryGrid Manager
Verständnis der Datenzugriffskontrolle und Autorisierung von Teradata
Erfahrung in Teradata Teradata Data Mover und Teradata ET und LT
Fähigkeit zur Durchführung von Teradata -Datenbanksicherungen und Wiederherstellung der Prozeduren
Kenntnis des Teradata Teradata -Systememulationstools und Teradata -Audits
Verständnis der Datenqualitäts- und Daten -Governance -Initiativen von Teradata
Erfahrung in Teradata Teradata Parallele Datenpumpe und Teradata Multi-System Manager
Fähigkeit, Teradata -Datenintegrationslösungen zu entwerfen und zu implementieren
Kenntnis von Teradata Teradata Metadata Services und Teradata Data Lab
Verständnis der Kapazitätsplanung und der Überwachung der Systemleistung von Teradata
Erfahrung in Teradata Teradata JDBC -Anbieter und Teradata ODBC -Fahrer
Fähigkeit zur Fehlerbehebung und Lösung von Teradata -Datenreplikation und Synchronisationsproblemen
Kenntnis von Teradata Teradata -Datenwörterbuch und Teradata -Datenschutz
Verständnis der Datenvirtualisierungs- und analytischen Funktionen von Teradata
Erfahrung in Teradata Teradata AppCenter- und Teradata XML -Diensten
Fähigkeit, Teradata -Datenbank -Upgrade und Patching -Verfahren durchzuführen
Kenntnis der Teradata Teradata -Datenbankverwaltung und Teradata -Datenbankverwaltung
Verständnis für Teradatas Query -Umschreibungs- und Abfrageoptimierungstechniken
Erfahrung in Teradata Teradata Active System Management und Teradata Fernkonsole
Fähigkeit, Teradata -Datensicherheit und Datenschutzmechanismen zu entwerfen und zu implementieren
Kenntnis von Teradata Teradata -Ökosystemmanager und Teradata Unity Data Mover
Verständnis der Datenverschlüsselung und des Schlüsselmanagements von Teradata
Erfahrung in Teradata Teradata Secure Enterprise Search und Teradata Portfolio für Hadoop
Fähigkeit, Teradata Data Warehouse Architecture zu konfigurieren und zu verwalten
Kenntnis von Teradata Teradata Datenschutz und Teradata Data Stream Utility
Verständnis der Datenkomprimierung und Datenarchivierungsstrategien von Teradata

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

Dies sind nur ein kleines Beispiel aus unserer Bibliothek mit mehr als 10.000 Fragen. Die tatsächlichen Fragen dazu Teradata Online -Test wird nichtgänger sein.

🧐 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

Mit Adaface konnten wir unseren Erstauswahlprozess um mehr als 75 % optimieren und so wertvolle Zeit sowohl für Personalmanager als auch für unser Talentakquiseteam gewinnen!

Brandon Lee, Leiter der Menschen, 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 Online -Test

Why you should use Teradata Online -Test?

The Teradata Online -Test makes use of scenario-based questions to test for on-the-job skills as opposed to theoretical knowledge, ensuring that candidates who do well on this screening test have the relavant skills. The questions are designed to covered following on-the-job aspects:

Teradata -Datenbankverwaltung und -verwaltung
SQL -Abfrageoptimierung und Leistungsstimmung
ETL -Design und -umsetzung
Datenmodellierung und Datenbankdesign
Datenanalyse und Berichterstattung
Datenintegration und Konsolidierung
Datenmigration und Transformation
Teradata -Versorgungsunternehmen und Tools Kompetenz
Verständnis und Implementierung von Teradata -Sicherheit
Entwicklung und Wartung von Teradata Data Warehouse

Once the test is sent to a candidate, the candidate receives a link in email to take the test. For each candidate, you will receive a detailed report with skills breakdown and benchmarks to shortlist the top candidates from your pool.

What topics are covered in the Teradata Online -Test?

teradata
teradata ist ein leistungsstarkes System für relationale Datenbankverwaltung, das speziell für die Behandlung großer Datenmengen entwickelt wurde. Es bietet eine skalierbare Plattform für Hochleistungsanalysen, Data-Warehusings und Echtzeitdatenverarbeitung. Diese Fähigkeit sollte im Test gemessen werden, um sicherzustellen, dass Kandidaten ein starkes Verständnis dafür haben (Strukturierte Abfragesprache) ist eine Programmiersprache, mit der relationale Datenbanken verwaltet und manipuliert werden. Dadurch können Benutzer Daten aus einer Datenbank abrufen, einfügen, aktualisieren und löschen. Das Messen von SQL -Fähigkeiten im Test ist wichtig, da es sich um eine wesentliche Sprache für die Interaktion mit Teradata und die Durchführung verschiedener Datenbankvorgänge handelt. und Verwaltung von Datenbanken. Es umfasst Aktivitäten wie das Erstellen und Verwalten von Datenbankschemas, die Optimierung der Datenbankleistung, die Sicherstellung der Datenintegrität und die Implementierung von Sicherheitsmaßnahmen. Diese Fähigkeit sollte im Test gemessen werden, um die Fähigkeit der Kandidaten zu bewerten, Datenbanken effektiv zu verwalten und zu verwalten. Verschiedene Quellen, die es in ein geeignetes Format verwandeln und in eine Zieldatenbank oder ein Data Warehouse geladen werden. Es ist eine wesentliche Fähigkeit, im Test zu messen, da die Fähigkeit der Kandidaten während des ETL ist der Prozess der Erstellung einer konzeptionellen Darstellung von Datenstrukturen, Beziehungen und Einschränkungen zur Unterstützung eines effizienten und genauen Datenmanagements. Das Messen von Datenmodellierungsfähigkeiten im Test ist entscheidend, da die Fähigkeit der Kandidaten bewertet wird, logische und physikalische Datenmodelle zu entwerfen, die den Geschäftsanforderungen anpassen und die Datenkonsistenz und Integrität fördern. Die Datenanalyse umfasst die Analyse und Interpretation großer Datenvolumina, um Erkenntnisse, Trends und Muster aufzudecken, die die Entscheidungsfindung der Geschäftsteile vorantreiben können. Es erfordert Fähigkeiten in der statistischen Analyse, Datenvisualisierung und Data -Mining. Das Messen von Datenanalysefähigkeiten im Test ist wichtig, da die Fähigkeit der Kandidaten bewertet wird, aussagekräftige Erkenntnisse aus Daten mithilfe verschiedener Analysetechniken abzuleiten. Daten aus verschiedenen Quellen und den Benutzern eine einheitliche Ansicht der integrierten Daten. Es umfasst das Extrahieren, Transformieren und Laden von Daten aus unterschiedlichen Systemen in ein konsolidiertes Datenrepository. Die Messung der Datenintegrationsfähigkeiten im Test ist entscheidend, da die Fähigkeit der Kandidaten bewertet wird, komplexe Datenintegrationsszenarien zu verarbeiten, die Datenkonsistenz zu gewährleisten und die Datenqualitätsprobleme zu mildern. ist der Prozess des Übertragens von Daten von einem System in ein anderes, normalerweise während System -Upgrades oder -übergänge. Es umfasst das Extrahieren von Daten aus dem Quellsystem, das Umwandeln in ein kompatibler Format und das Laden in das Zielsystem. Die Messung der Datenmigrationsfähigkeiten im Test ist wichtig, da die Fähigkeit der Kandidaten zur Planung, Ausführung und Validierung von Datenmigrationsaktivitäten bewertet wird und gleichzeitig Datengenauigkeit, Vollständigkeit und Integrität sicherstellt. > Teradata -Dienstprogramme sind eine Reihe von Tools und Dienstprogrammen, die von Teradata für verschiedene Datenverwaltungs- und Verarbeitungsaufgaben bereitgestellt werden. Diese Dienstprogramme umfassen Fastload, Multiload, Fastexport und mehr. Die Messung der Fähigkeiten teradata Utilities im Test ist relevant, da die Vertrautheit und die Kenntnisse der Kandidaten bei der Verwendung dieser Tools zur Verbesserung der Datenbelastung, Datenextraktion und Datenverarbeitungsfunktionen bewertet werden.
Full list of covered topics
The actual topics of the questions in the final test will depend on your job description and requirements. However, here's a list of topics you can expect the questions for Teradata Online -Test to be based on.
Teradata
Sql
Datenbankmanagement
ETL
Datenmodellierung
Datenanalyse
Datenintegration
Datenmigration
Teradata -Dienstprogramme
Teradata -Systemverwaltung
Teradata -Datenbanksicherung und Wiederherstellung
Teradata Parallele Verarbeitungsarchitektur
Teradata Data Warehouse Appliance
Teradata -Sicherungs- und Wiederherstellungsverfahren
Teradata Multiload
Teradata Fastload
Teradata querygrid
Teradata Queryband
Teradata Data Dictionary
Teradata -Metadatenmanagement
Teradata Standpunkt
Teradata Data Mover
Teradata -Datenbank Benutzer und Rollen
Teradata Index Assistent
Teradata SQL Assistant
Teradata Workload Management
Teradata -Abfrageoptimierung
Teradata tpump
Teradata tpt
Teradata logisches Datenmodell
Teradata physikalisches Datenmodell
Teradata Presto
Teradata -Komprimierungstechniken
Teradata -Datenspeicheroptionen
Teradata Bteq
Teradata Fastexport
Teradata -Daemon -Programme
Teradata -Dienstprogramme
Teradata Geospatial Data
Teradata -Datenlinie
Teradata Impact Analysis
Teradata Einheit
Teradata Unity Director
Teradata SQL -Abfrageoptimierung
Teradata SQL Referenz
Teradata -Datenbankverwaltung
Teradata -Datenarchivierung
Teradata -Datenbindung
Teradata ODBC -Treiber
Teradata JDBC -Treiber
Teradata -Datenbelastungsprobleme
Teradata -Datenbewegungsprobleme
Teradata Statistics Assistent
Teradata -Datenbankdesign
Teradata -Datenreplikation
Teradata -Datensynchronisation
Teradata -Lob -Datentypen
Teradata Data Marts
Teradata Data Warehouses
Teradata Studio
Teradata -Datenbank -Abfrageplaner
Teradata -Datenmaskierung
Teradata -Datenanonymisierung
Teradata sichere Zonen
Teradata -Tools und -versorgungsunternehmen
Teradata -Datenbankkapazitätsplanung
Teradata Performance Tuning
Teradata SQL Formatierer
Teradata QueryGrid Manager
Teradata -Datenzugriffskontrolle
Teradata -Autorisierung
Teradata Data Mover
Teradata ET und LT
Teradata -Datenbanksicherung
Teradata -Datenbankwiederherstellung
Teradata -Systememulationstool
Teradata Audit
Teradata -Datenqualität
Teradata Data Governance
Teradata Parallele Datenpumpe
Teradata Multi-System Manager
Teradata -Datenintegration
Teradata Metadata Services
Teradata Data Lab
Teradata -Kapazitätsplanung
Teradata -Systemleistung Überwachung
Teradata JDBC -Anbieter
Teradata ODBC -Treiber
Teradata -Datenreplikation
Teradata -Datensynchronisation
Teradata Data Dictionary
Teradata -Datenschutz
Teradata -Datenvirtualisierung
Teradata analytische Funktionen
Teradata AppCenter
Teradata XML -Dienste
Teradata -Datenbank -Upgrade
Teradata -Datenbank -Patching
Teradata -Query -Umschreiben
Teradata -Abfrageoptimierung
Teradata Active System Management
Teradata Fernkonsole
Teradata -Datensicherheit
Teradata -Datenschutz
Teradata -Ökosystemmanager
Teradata Unity Data Mover
Teradata -Datenverschlüsselung
Teradata Key Management
Teradata Secure Enterprise -Suche
Teradata -Portfolio für Hadoop
Teradata Data Warehouse Architektur
Teradata -Datenschutz
Teradata Data Stream Utility
Teradata -Datenkomprimierung
Teradata -Datenarchivierung

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What roles can I use the Teradata Online -Test for?

Teradata -Datenbankadministrator
Teradata Technischer Spezialist
ETL -Entwickler
Data Warehouse -Entwickler
Datenintegrationsspezialist
Datenmigrationsspezialist

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

Datenbankindexierung und Partitionierung
Teradata SQL -Syntax und Funktionen
Teradata -Dateisystem und Speicherverwaltung
Datenqualitätsmanagement und Governance
Teradata -Sicherungs- und Wiederherstellungsverfahren
Analyse und Fehlerbehebung bei Teradata -Leistungsproblemen
ETL -Jobplanung und Automatisierung
Datenmodellierungsmethoden und Best Practices
Data Warehousing -Konzepte und Architektur
Überwachung und Optimierung von Teradata -Systemleistung

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Die Personalmanager hatten das Gefühl, dass sie durch die technischen Fragen, die sie während der Panel-Interviews stellten, erkennen konnten, welche Kandidaten bessere Ergebnisse erzielten, und sie von denen unterscheiden konnten, die nicht so gut abschnitten. Sie sind Sehr zufrieden mit der Qualität der Kandidaten, die beim Adaface-Screening in die engere Auswahl kommen.

85%

Verringerung der Screening -Zeit

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Teradata Online -Test FAQs

Kann ich mehrere Fähigkeiten zu einer benutzerdefinierten Bewertung kombinieren?

Ja absolut. Basierend auf Ihrer Stellenbeschreibung werden benutzerdefinierte Bewertungen eingerichtet und enthalten Fragen zu allen von Ihnen angegebenen Must-Have-Fähigkeiten.

Haben Sie Anti-Cheating- oder Proctoring-Funktionen?

Wir haben die folgenden Anti-Cheating-Funktionen:

Nicht-Googling-Fragen
IP -Verbreitung
Web -Verbreitung
Webcam -Proctoring
Plagiaterkennung
sicherer Browser

Lesen Sie mehr über die Proctoring -Funktionen.

Wie interpretiere ich die Testergebnisse?

Die wichtigste Sache, die Sie beachten sollten, ist, dass eine Bewertung ein Eliminierungswerkzeug ist, kein Auswahlwerkzeug. Eine Bewertung der Qualifikationsbewertung wird optimiert, um Ihnen zu helfen, Kandidaten zu beseitigen, die technisch nicht für die Rolle qualifiziert sind. Sie ist nicht optimiert, um Ihnen dabei zu helfen, den besten Kandidaten für die Rolle zu finden. Die ideale Möglichkeit, eine Bewertung zu verwenden, besteht also darin, einen Schwellenwert zu entscheiden (in der Regel 55%, wir helfen Ihnen bei der Benchmark) und alle Kandidaten einladen, die für die nächsten Interviewrunden über dem Schwellenwert punkten.

Für welche Erfahrung kann ich diesen Test verwenden?

Jede Adaface -Bewertung ist an Ihre Stellenbeschreibung/ ideale Kandidatenpersönlichkeit angepasst (unsere Experten für Fache werden die richtigen Fragen für Ihre Bewertung aus unserer Bibliothek mit über 10000 Fragen auswählen). Diese Einschätzung kann für jede Erfahrungsstufe angepasst werden.

Bekommt jeder Kandidat die gleichen Fragen?

Ja, es macht es Ihnen viel einfacher, Kandidaten zu vergleichen. Optionen für MCQ -Fragen und die Reihenfolge der Fragen werden randomisiert. Wir haben Anti-Cheating/Proctoring Funktionen. In unserem Unternehmensplan haben wir auch die Möglichkeit, mehrere Versionen derselben Bewertung mit Fragen mit ähnlichen Schwierigkeitsgraden zu erstellen.