Why you should use Data Modeling Skills Test?

The Datamodelleringsfærdighedstest 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: Forståelse af datamodelleringskoncepter og teknikker Færdighed i SQL og databasedesign Evne til at oprette ER -diagrammer og relationelle skemaer Erfaring med normalisering og sikring af dataintegritet Kendskab til datakortlægning og transformationer Ekspertise inden for datavalideringsteknikker Fortrolighed med datamodellering for forskellige typer databaser Forståelse af forespørgseloptimering og -præstationstuning Evne til at fortolke og optimere eksisterende databasestrukturer Erfaring med at designe databaser til skalerbare applikationer

Data Modeling Skills Test

Q: What topics are covered in the Data Modeling Skills Test?

Datamodellering Databasedesign SQL ER -diagrammer Normalisering Relationsskema Dataintegritet Datakortlægning Data validering Datatransformation

About the test:

Datamodelleringsevner test evaluerer en kandidats viden og evner inden for databasedesign, SQL, ER -diagrammer, normalisering, relationskema, dataintegritet, datakortlægning, datalagring, datamanipulation, datavalidering og datatransformation.

Covered skills:

Datamodellering
SQL
Normalisering
Dataintegritet
Data validering

Databasedesign
ER -diagrammer
Relationsskema
Datakortlægning
Datatransformation

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9 reasons why

Adaface Data Modeling Skills Assessment Test is the most accurate way to shortlist Dataanalytikers

Reason #1

Tests for on-the-job skills

The Data Modeling Skills 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:

Evne til at skabe effektive datamodeller til at repræsentere komplekse forretningskrav
Færdigheder i SQL -forespørgsler til datamanipulation og hentning
Forståelse af ER -diagrammer til visualisering og designdatabasestrukturer
Kendskab til normaliseringsteknikker til at optimere databasens ydeevne og reducere redundans
Evne til at designe relationelle skemaer til effektiv datalagring og hentning
Forståelse af begrænsninger for dataintegritet for at opretholde datanøjagtighed og konsistens
Færdighed i datakortlægningsteknikker til at etablere forhold mellem dataelementer
Kendskab til datavalideringsteknikker for at sikre dataintegritet og kvalitet
Evne til at udføre datatransformationsoperationer til dataintegration og rapportering
Forståelse af datamodelleringsprincipper og metoder til effektiv datarepræsentation

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

Dette er kun en lille prøve fra vores bibliotek med 10.000+ spørgsmål. De faktiske spørgsmål om dette Datamodelleringsfærdighedstest vil være ikke-gåbart.

🧐 Question
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.
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?

	🧐 Question	🔧 Skill
	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.
	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?

	🧐 Question	🔧 Skill	💪 Difficulty	⌛ Time
	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.
	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?

Reason #4

1200+ customers in 75 countries

Med Adaface var vi i stand til at optimere vores indledende screeningsproces med op mod 75 %, hvilket frigjorde kostbar tid for både ansættelsesledere og vores talentanskaffelsesteam!

Brandon Lee, Leder af mennesker, Love, Bonito

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Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Datamodelleringsfærdighedstest 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 Datamodelleringsfærdighedstest 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 Data Modeling Skills Online Test

Why you should use Pre-employment Data Modeling Skills Test?

The Datamodelleringsfærdighedstest 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:

Forståelse af datamodelleringskoncepter og teknikker
Færdighed i SQL og databasedesign
Evne til at oprette ER -diagrammer og relationelle skemaer
Erfaring med normalisering og sikring af dataintegritet
Kendskab til datakortlægning og transformationer
Ekspertise inden for datavalideringsteknikker
Fortrolighed med datamodellering for forskellige typer databaser
Forståelse af forespørgseloptimering og -præstationstuning
Evne til at fortolke og optimere eksisterende databasestrukturer
Erfaring med at designe databaser til skalerbare applikationer

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 Data Modeling Skills Test?

Databasedesign:
Databasedesign er processen med at oprette en plan for at organisere og strukturere data I et databasesystem. Det involverer at definere tabeller, forhold, begrænsninger og indekser for at sikre effektiv datalagring og hentning. Måling af databasedesignfærdigheder i denne test hjælper med at evaluere en kandidats evne til at designe databaser, der er skalerbare, optimerede og vedligeholdelige.
sql:
sql (struktureret forespørgselssprog) er et programmeringssprog Bruges til at styre og manipulere relationelle databaser. Det giver brugerne mulighed for at oprette, ændre og hente data fra databasetabeller. Måling af SQL-færdigheder i denne test hjælper med at vurdere en kandidats færdigheder i at skrive effektive og nøjagtige SQL-forespørgsler til dataindhentning og manipulation.
er Diagrammer:
Et Entity-Relationship (ER) Diagram er En visuel repræsentation af enheder, attributter og relationer i et databasesystem. Det hjælper med at illustrere strukturen og organiseringen af data. Måling af ER -diagramfærdigheder i denne test hjælper med at evaluere en kandidats evne til at designe klare og nøjagtige ER -diagrammer, som er vigtige for databaseforståelse og kommunikation.
normalisering:
Normalisering er en proces med Minimering af redundans og afhængighed i databasetabeller for at forbedre dataintegritet og reducere dataanomalier. Det involverer at opdele en database i logiske, velstrukturerede tabeller og etablere forhold mellem dem. Måling af normaliseringsevner i denne test hjælper med at måle en kandidats forståelse af datalormaliseringskoncepter og deres evne til at designe effektive og normaliserede databaseskemaer.
Relationsskema:
Et relationelt skema er en plan, der Definerer strukturen og organiseringen af en relationel database. Det inkluderer navnene på tabeller, kolonner, begrænsninger og forhold. Måling af relationelle skemaevner i denne test hjælper med at vurdere en kandidats evne til at designe logiske og sammenhængende databaseskemaer, som er afgørende for dataorganisation og hentning Nøjagtigheden, konsistensen og pålideligheden af data, der er gemt i en database. Det opretholdes ved hjælp af begrænsninger, valideringer og forretningsregler. Måling af dataintegritetsevner i denne test hjælper med at evaluere en kandidats forståelse af at opretholde datakvalitet og forhindre datakorruption eller tab.
Datakortlægning:
Datakortlægning involverer at definere forholdet og transformationer mellem forskellige Dataformater, strukturer eller systemer. Det bruges ofte under dataintegration eller migrationsprojekter. Måling af datakortlægningsevner i denne test hjælper med at vurdere en kandidats evne til at kortlægge og transformere data nøjagtigt og effektivt, hvilket sikrer problemfri dataflow og integration.
Datavalidering:
Datavalidering er processen for at sikre, at data opfylder specifikke kriterier eller standarder for nøjagtighed, konsistens og anvendelighed. Det inkluderer kontrol af data mod foruddefinerede regler, begrænsninger eller mønstre. Måling af datavalideringsevner i denne test hjælper med at måle en kandidats evne til at designe og implementere robuste datavalideringsmekanismer, hvilket sikrer datakvalitet og pålidelighed.
Datatransformation:
Datatransformation involverer konvertering af data fra Et format, struktur eller repræsentation til et andet. Det kan omfatte datarensning, formatering og omstrukturering. Måling af datatransformationsevner i denne test hjælper med at evaluere en kandidats færdighed i at transformere og manipulere data, som ofte kræves til dataintegration, migration eller analyseopgaver.
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 Datamodelleringsfærdighedstest to be based on.
Enhedsforhold
Primærnøgle
Fremmed nøgle
Normaliseringsformularer
Relationsskema
Databasedesign
Dataintegritet
Datakortlægning
Data validering
Datatransformation
ER -diagrammer
Logisk datamodel
Fysisk datamodel
Konceptuel datamodel
Normaliseringsteknikker
Denormalisering
Funktionelle afhængigheder
Data redundans
Kandidatnøgler
Dataabstraktion
Referencemæssig integritet
Datakonsistens
Dataintegration
Dataaggregering
Data varehus
Data Mart
Faktabord
Dimensionstabel
Data mining
Stjerneskema
Snowflake -skema
Relationel algebra
Struktureret forespørgselssprog
Sprog på datamanipulation
Data Definition Sprog
Vælg erklæring
Slutter sig
Underspillerier
Samlede funktioner
Indeksering
Transaktioner
Datatyper
Synspunkter
Lagrede procedurer
Triggers
Almindelige tabeludtryk
Datamodelleringsteknikker
Datamodelleringsværktøjer
Datamodellering af bedste praksis
Omvendt teknik
Fremadrettet teknik
Datakvalitet
Data -styring
Databeskyttelse
Datasikkerhed

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What roles can I use the Data Modeling Skills Test for?

Dataanalytiker
Database Administrator
Dataingeniør
Business analytiker
Dataforsker
Software ingeniør
Fuld stakudvikler
ETL -udvikler
Dataarkitekt
BI -udvikler

How is the Data Modeling Skills 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

Færdighed i håndtering af komplekse SQL -forespørgsler
Dygtighed til at designe databaser til arkitekturer med flere lejere
Forståelse af databasedesign bedste praksis
Ekspertise i at skabe lagrede procedurer og triggere
Kendskab til indekseringsstrategier og udførelsesplaner
Erfaring med datamodellering til skybaserede databaser
Fortrolighed med datalagring og ETL -processer
Kendskab til at udvikle datamodeller til rapporteringsformål
Evne til at analysere og optimere datalagringskrav
Forståelse af datastyring og datalivscyklusstyring

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Ansættelseslederne mente, at de gennem de tekniske spørgsmål, som de stillede under panelinterviewene, var i stand til at fortælle, hvilke kandidater der havde bedre score og differentieret med dem, der ikke scorede så godt. De er meget tilfreds med kvaliteten af de kandidater, der er nomineret med Adaface-screeningen.

85%

Reduktion i screeningstid

Se den fulde casestudie

Data Modeling Skills Hiring Test Ofte stillede spørgsmål

Kan jeg kombinere flere færdigheder i en brugerdefineret vurdering?

Ja absolut. Brugerdefinerede vurderinger er oprettet baseret på din jobbeskrivelse og vil omfatte spørgsmål om alle must-have-færdigheder, du angiver.

Har du nogen anti-cheating eller proctoring-funktioner på plads?

Vi har følgende anti-cheating-funktioner på plads:

Ikke-gåbare spørgsmål
IP Proctoring
Webproctoring
Webcam Proctoring
Detektion af plagiering
Sikker browser

Læs mere om Proctoring Features.

Hvordan fortolker jeg testresultater?

Den primære ting at huske på er, at en vurdering er et elimineringsværktøj, ikke et udvælgelsesværktøj. En færdighedsvurdering er optimeret for at hjælpe dig med at eliminere kandidater, der ikke er teknisk kvalificerede til rollen, den er ikke optimeret til at hjælpe dig med at finde den bedste kandidat til rollen. Så den ideelle måde at bruge en vurdering på er at beslutte en tærskelværdi (typisk 55%, vi hjælper dig med benchmark) og inviterer alle kandidater, der scorer over tærsklen for de næste interviewrunder.

Hvilken oplevelsesniveau kan jeg bruge denne test til?

Hver Adaface -vurdering tilpasses til din jobbeskrivelse/ ideel kandidatperson (vores emneeksperter vælger de rigtige spørgsmål til din vurdering fra vores bibliotek på 10000+ spørgsmål). Denne vurdering kan tilpasses til ethvert erfaringsniveau.

Får hver kandidat de samme spørgsmål?

Ja, det gør det meget lettere for dig at sammenligne kandidater. Valgmuligheder for MCQ -spørgsmål og rækkefølgen af spørgsmål randomiseres. Vi har anti-cheating/proctoring funktioner på plads. I vores virksomhedsplan har vi også muligheden for at oprette flere versioner af den samme vurdering med spørgsmål om lignende vanskelighedsniveauer.