Why you should use Teradata MDM Online Test?

The Teradata MDM -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: ETL -concepten en technieken Teradata MDM -architectuur en functionaliteit Best practices en methodologieën voor gegevensbeheer Gegevensbeheerprincipes en implementatie Master Data Management -technieken en workflows Gegevensintegratiestrategieën en tools Beoordeling en verbeteringstechnieken voor gegevenskwaliteit Gegevensmodelleringsprincipes en technieken Data warehousing concepten en ontwerp Gegevensbeveiliging en privacypraktijken in MDM

Teradata MDM Online Test

Q: What topics are covered in the Teradata MDM Online Test?

Teradata MDM Gegevensbeheer Data Governance Master Data Management Gegevens integratie Data kwaliteit Datamodellering Data opslagplaats

About the test:

De online test van Teradata MDM evalueert de kennis en vaardigheden van een kandidaat in Teradata Master Data Management (MDM). Het beoordeelt het begrip van gegevensbeheer, gegevensbeheer, gegevensintegratie, gegevenskwaliteit, datamodellering, data warehousing, data -analyse en gegevensbeveiliging.

Covered skills:

Teradata MDM
Data Governance
Gegevens integratie
Datamodellering

Gegevensbeheer
Master Data Management
Data kwaliteit
Data opslagplaats

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9 reasons why

Adaface Teradata MDM Test is the most accurate way to shortlist Teradata MDM -ontwikkelaars

Reason #1

Tests for on-the-job skills

The Teradata MDM 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:

Mogelijkheid om Teradata MDM -principes en best practices te begrijpen en te implementeren
Mogelijkheid om beleid en procedures voor gegevensbeheer te ontwerpen en te implementeren
Mogelijkheid om gegevens uit verschillende bronnen te integreren in een teradata MDM -systeem
Mogelijkheid om gegevenskwaliteit en nauwkeurigheid te waarborgen in een MDM -omgeving van Teradata
Mogelijkheid om gegevens te modelleren en te structureren in een Teradata MDM -oplossing
Mogelijkheid om dat warehousing -oplossingen te ontwikkelen en te onderhouden met behulp van Teradata MDM
Mogelijkheid om problemen op te lossen en op te lossen met betrekking tot de implementatie van de Teradata MDM
Mogelijkheid om samen te werken met belanghebbenden om hoofdgegevensvereisten te definiëren en prioriteren
Mogelijkheid om mastergegevens te beheren en te onderhouden in een Teradata MDM -systeem
Mogelijkheid om gegevensanalyse uit te voeren en gegevenspatronen en trends te identificeren in een Teradata MDM -omgeving

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

Dit zijn slechts een klein monster uit onze bibliotheek met meer dan 10.000 vragen. De werkelijke vragen hierover Teradata MDM -test zal niet-googelbaar zijn.

🧐 Question
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

	🧐 Question	🔧 Skill
	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

	🧐 Question	🔧 Skill	💪 Difficulty	⌛ Time
	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

Reason #4

1200+ customers in 75 countries

Met Adaface konden we ons eerste screeningproces met ruim 75% optimaliseren, waardoor kostbare tijd vrijkwam voor zowel de rekruteringsmanagers als ons talentacquisitieteam!

Brandon Lee, Hoofd Mensen, Love, Bonito

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Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Teradata MDM -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 MDM -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

Learn more

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About the Teradata MDM Assessment Test

Why you should use Pre-employment Teradata MDM Online Test?

The Teradata MDM -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:

ETL -concepten en technieken
Teradata MDM -architectuur en functionaliteit
Best practices en methodologieën voor gegevensbeheer
Gegevensbeheerprincipes en implementatie
Master Data Management -technieken en workflows
Gegevensintegratiestrategieën en tools
Beoordeling en verbeteringstechnieken voor gegevenskwaliteit
Gegevensmodelleringsprincipes en technieken
Data warehousing concepten en ontwerp
Gegevensbeveiliging en privacypraktijken in MDM

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 MDM Online Test?

Data Management </H4> <P > Gegevensbeheer omvat de processen, beleid en hulpmiddelen die worden gebruikt om gegevens gedurende zijn levenscyclus te verwerken, op te slaan en te beschermen. Deze vaardigheid wordt in de test gemeten om het vermogen van een kandidaat te evalueren om gegevensactiva effectief te beheren en te regelen, te waarborgen van gegevenskwaliteit, beveiliging en naleving van industrienormen en wettelijke vereisten. </p> <h4> Data Governance </h4> <P > Data Governance verwijst naar het algemene beheer en de controle van de gegevensactiva van een organisatie, inclusief gegevensbeleid, normen en processen. Deze vaardigheid wordt in de test gemeten om de kennis van een kandidaat van kaders voor gegevensbeheer, best practices en hun vermogen om het beleid voor gegevensbeheer op te zetten en af te dwingen om gegevenskwaliteit, integriteit en consistentie te waarborgen en te handhaven. </p> <h4> Master Data Management
Master Data Management (MDM) is een uitgebreide aanpak om de meest kritieke gegevensentiteiten van een organisatie, zoals klanten, producten en leveranciers, te identificeren, te definiëren en te beheren om te zorgen voor consistentie en nauwkeurigheid tussen meerdere systemen en toepassingen . Deze vaardigheid wordt in de test gemeten om het begrip van een kandidaat van MDM -concepten, methoden en technologieën te evalueren, en hun vermogen om effectieve MDM -oplossingen te ontwerpen en te implementeren.
Data Integration
Gegevensintegratie omvat het combineren van gegevens uit verschillende bronnen en formaten in een uniforme visie op analyse, rapportage en besluitvorming. Deze vaardigheid wordt in de test gemeten om de kennis van een kandidaat van gegevensintegratietechnieken, tools en technologieën te beoordelen, en hun vermogen om oplossingen voor gegevensintegratie te ontwerpen en te implementeren die naadloze gegevensstroom en interoperabiliteit tussen verschillende systemen mogelijk maken.
. Gegevenskwaliteit
Datakwaliteit verwijst naar de nauwkeurigheid, consistentie, volledigheid en betrouwbaarheid van gegevens. Deze vaardigheid wordt in de test gemeten om het begrip van een kandidaat te evalueren van de beoordeling van de gegevenskwaliteit, gegevensprofilering en gegevensreinigingstechnieken, evenals hun vermogen om dat kwaliteitskaders en processen te implementeren om gegevens van hoge kwaliteit te garanderen voor betrouwbare besluitvorming en operationele efficiëntie .
datamodellering
Datamodellering is het proces van het creëren van een conceptuele of logische weergave van gegevensstructuren, entiteiten en relaties voor de gegevensactiva van een organisatie. Deze vaardigheid wordt in de test gemeten om het vermogen van een kandidaat te beoordelen om gegevensmodellen te ontwerpen en te ontwikkelen die voldoen aan de zakelijke vereisten, data -integriteit waarborgen en efficiënte gegevensopslag, ophalen en manipulatie vergemakkelijken.
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 MDM -test to be based on.
Teradata MDM -architectuur
Principes voor gegevensbeheer
Beleid en procedures voor gegevensbeheer
Gegevensintegratietechnieken
Gegevenskwaliteitsbeheer
Gegevensmodelleringstechnieken
Dimensionale modellering
Normalisatie
Sterrenschema
Sneeuwvlokschema
Data Warehousing -concepten
ETL (extract, transformeren, laden) processen
Gegevensprofilering
Gegevensmapping
Data-opschoning
Gegevensverrijking
Gegevensbeheerschap
Data -afkomst
Gegevensvalidatie
Data migratie
Gegevensovereenkomst
Gegevens deduplicatie
Gegevensstandaardisatie
Gegevenssynchronisatie
Gegevensbeheerhulpmiddelen
Gegevensprivacy en beveiliging
Gegevenssamenwerking en delen
Data Analytics
Data visualisatie
Strategieën voor gegevensbeheer van master
Master Data Domains
Master Data Governance
Master datamodellering
Master Data Integration
Master Data Quality
Master Data Governance Tools
Teradata MDM -administratie
Teradata MDM -configuratie
Teradata MDM -implementatie
Teradata MDM -probleemoplossing
Teradata MDM -beveiliging
Teradata MDM Performance Tuning
Teradata MDM schaalbaarheid
Teradata MDM Data Migration
Teradata MDM -gegevenssynchronisatie
Teradata MDM -gegevensmodellering
Teradata MDM -gegevensvalidatie
Teradata MDM Data Lineage
Teradata MDM Data Governance
Teradata MDM -gegevensintegratie
Teradata MDM -gegevenskwaliteit

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

Teradata MDM -ontwikkelaar
Sr. Teradata MDM -ontwikkelaar
SR MDM -ontwikkelaar
MDM -toepassingen

How is the Teradata MDM 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

Diepgaande kennis van Teradata MDM-functionaliteiten en -functies
Mogelijkheid om complexe gegevenstransformatiescenario's te ontwerpen en te implementeren
Ervaring met kaders voor gegevensbeheer en beleid
Bekwaam in het gebruik van ETL -tools voor gegevensintegratie
Een sterk begrip van profilering en reinigingstechnieken voor gegevenskwaliteit
Expertise in dimensionaal modellering en schemaontwerp
Kennis van ETL -planning en monitoringprocessen
Ervaring met het bouwen van schaalbare en efficiënte datawarehouses
Inzicht in de voorschriften voor gegevensprivacy en naleving
Bekwaam in het oplossen van problemen met MDM -gerelateerde problemen

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De rekruteringsmanagers waren van mening dat ze door de technische vragen die ze tijdens de panelgesprekken stelden, konden zien welke kandidaten beter scoorden, en onderscheidden ze zich met degenen die niet zo goed scoorden. Zij zijn zeer tevreden met de kwaliteit van de kandidaten op de shortlist van de Adaface-screening.

85%

Vermindering van de screeningstijd

Bekijk volledige case study

Teradata MDM Hiring Test Veelgestelde vragen

Kan ik meerdere vaardigheden combineren in één aangepaste beoordeling?

Ja absoluut. Aangepaste beoordelingen zijn opgezet op basis van uw functiebeschrijving en bevatten vragen over alle must-have vaardigheden die u opgeeft.

Heeft u functies tegen latere of proctoring op hun plaats?

We hebben de volgende anti-cheating-functies op zijn plaats:

Niet-googelbare vragen
IP Proctoring
Web Proctoring
Webcam Proctoring
Plagiaatdetectie
Beveilig browser

Lees meer over de Proctoring -functies.

Hoe interpreteer ik testscores?

Het belangrijkste om in gedachten te houden is dat een beoordeling een eliminatietool is, geen selectietool. Een vaardighedenbeoordeling is geoptimaliseerd om u te helpen kandidaten te elimineren die niet technisch gekwalificeerd zijn voor de rol, het is niet geoptimaliseerd om u te helpen de beste kandidaat voor de rol te vinden. Dus de ideale manier om een beoordeling te gebruiken is om een drempelscore te bepalen (meestal 55%, wij helpen u benchmark) en alle kandidaten uit te nodigen die boven de drempel scoren voor de volgende interviewrondes.

Voor welk ervaringsniveau kan ik deze test gebruiken?

Elke ADAFACE -beoordeling is aangepast aan uw functiebeschrijving/ ideale kandidaatpersonage (onze experts van het onderwerp zullen de juiste vragen kiezen voor uw beoordeling uit onze bibliotheek van 10000+ vragen). Deze beoordeling kan worden aangepast voor elk ervaringsniveau.

Krijgt elke kandidaat dezelfde vragen?

Ja, het maakt het veel gemakkelijker voor u om kandidaten te vergelijken. Opties voor MCQ -vragen en de volgorde van vragen worden gerandomiseerd. We hebben anti-cheating/proctoring functies. In ons bedrijfsplan hebben we ook de optie om meerdere versies van dezelfde beoordeling te maken met vragen over vergelijkbare moeilijkheidsniveaus.