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About the test:

AI Product Manager-testen er designet for å vurdere en kandidats kunnskap og ferdigheter i å håndtere AI-drevne produkter. Den evaluerer forståelsen av AI -konsepter, produktstrategi, kundeinnsikt, prosjektledelse og dataanalyse.

Covered skills:

  • Historiefortelling
  • Generative AI -applikasjoner
  • Prosjektledelse
  • Kommunikasjons ferdigheter
  • AI Fundamentals
  • Datamodellering
  • Dataanalyse
  • Forretningsanalyse

9 reasons why
9 reasons why

Adaface AI Product Manager Assessment Test is the most accurate way to shortlist AI produktsjefs



Reason #1

Tests for on-the-job skills

The AI Product Manager 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 å lage og administrere produktkart
  • Dyktig i å gjennomføre forretningsanalyse og samle krav
  • Forståelse av kunstige intelligensbegreper og applikasjoner
  • Kompetanse i datamodelleringsteknikker
  • Erfaring med prosjektledelse og smidige metoder
  • Sterk dataanalyseferdigheter for informert beslutningstaking
  • Utmerkede kommunikasjonsevner for effektivt samarbeid
  • Evne til å utføre grundig forretningsanalyse
Reason #2

No trick questions

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
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 bare en liten prøve fra biblioteket vårt med 10.000+ spørsmål. De faktiske spørsmålene om dette AI Product Manager Test vil være ikke-googlable.

🧐 Question

Easy

Advanced PLG Strategy and Customer Success
Product Led Growth
Solve
You are a product manager at a B2B SaaS company that has recently transitioned to a product-led growth (PLG) strategy. The company has always had a strong focus on customer success and wants to ensure this continues under the new strategy. You have been asked to recommend a strategy that aligns customer success with the PLG approach. 

You have the following data:

1. The company's product has a free trial version with limited features.
2. The conversion rate from free trial to paid customers is 15%.
3. The churn rate for paid customers is 5%.
4. The average customer support ticket resolution time is 48 hours.
5. The Net Promoter Score (NPS) is 30.

Which of the following strategies would best align customer success with the PLG approach?
A: Increase the number of features in the free trial version to attract more users.
B: Decrease the price of the paid version to increase the conversion rate.
C: Improve the product's user experience and provide self-service resources to empower users.
D: Increase the customer support team size to reduce ticket resolution time and improve customer satisfaction.
E: Launch a referral program to improve the NPS and attract more users through word-of-mouth.

Medium

Increase conversion
Solve
Your friend, Missy opened a new online store to sell heels. The heels come in 6 sizes: 34, 36, 38, 40, 42, 44. Missy did not want to invest too much capital upfront, so she decided to stock only 3 sizes: 36, 38 and 40 and display “out of stock” message for the remaining sizes. She used Google and Facebook ads to get visibility, and the market responded well. A lot of people ordered heels in the sizes she stocked, so she kept restocking the same sizes as they kept selling out.
She meets you over a cup of coffee and shares her story, and asks if you have any recommendations to increase conversion. What would you recommend?
A: Set up analytics and custom events on her online store to check how many people are clicking on the sizes she doesn’t have in stock.

B: Setting up analytics is not a good idea since it reduces website speed and impacts user experience.

C: Change CTA button to “Buy Now” to increase sales.

D: Procure a larger variety of heels in the same sizes that have been selling out.

E: It is possible that a different combination of heel sizes would increase conversion. 

F: Try a smaller stock of all the other sizes just to see if it sells.

G: Call up some of her customers to understand which sizes they are looking for and understand the market need.

H: Use FOMO (fear of missing out) to your advantage with messaging like “this item is in 43 carts”

I: Pick only 5 star reviews you have received and display on your store for each product to increase trust.

Easy

Pricing Strategy for a New Product Line
Pricing Strategy
Market Analysis
Solve
You are a product manager responsible for introducing a new product line of high-end headphones into the market. These headphones are designed for audiophiles and music enthusiasts who seek premium sound quality and craftsmanship. As part of your pricing strategy, you need to determine the most suitable pricing approach.

Which pricing approach would be most appropriate for this scenario?

Medium

Product Lifecycle and Marketing Strategy
Product Lifecycle Management
Marketing Strategies
User Acquisition
Solve
You are a product manager at a tech company that has developed a new AI-powered photo editing app. The product is now in the growth stage of its lifecycle, with steadily increasing user numbers each month.

The marketing team has proposed two strategies:
1. Strategy A: Invest heavily in social media advertising to acquire new users.
2. Strategy B: Focus on improving SEO and content marketing to increase organic user acquisition.

Based on the product's lifecycle stage, which strategy should be prioritized and why?
A: Strategy A, because it is necessary to rapidly acquire new users during the growth stage.
B: Strategy B, because it is important to focus on organic user acquisition during the growth stage.
C: Strategy A, because social media advertising always leads to higher user acquisition.
D: Strategy B, because SEO and content marketing always lead to higher user acquisition.
E: The decision cannot be made without additional information.

Easy

Safe distancing measures
Solve
Pink Village is the leading movie theatre in Singapore, and offers a wide variety of new and upcoming movie releases with varied cinematic experiences. Given the coronavirus pandemic, they need to implement safe distancing measures. They came to the conclusion that after every 2 seats in a row, 2 seats should be kept vacant. 

They need to alter the online booking experience accordingly, such that users should not be able to purchase an odd number of tickets. You are the product manager for the online ticketing system. What changes would you make?
 image
A: Users should be able to purchase any number of tickets.

B: The “Buy Now” button should disappear if the user has selected an odd number of tickets. 

C: Users who select an odd number of seats should see an error pop-up when they click on the “Buy Now” button. 

D: When a user selects an odd number of tickets, they should see a message on the same screen notifying them of the restriction. 

E: If a user is trying to purchase 3 tickets, they should be charged for 4 tickets. 

F: This is an extremely confusing flow, we should temporarily halt online bookings, and only allow users to purchase tickets at the movie theatre.

Medium

PV of customer segments
Market Segmentation
ROI
CLV
Solve
A retail company is exploring new customer segments to increase sales. You are provided with the following data on three potential customer segments:

Segment A:

- Average annual revenue per customer: $500
- Average customer retention rate: 80%
- Average customer acquisition cost: $200
- Expected segment size: 2,000 customers

Segment B:

- Average annual revenue per customer: $750
- Average customer retention rate: 70%
- Average customer acquisition cost: $300
- Expected segment size: 1,500 customers

Segment C:

- Average annual revenue per customer: $1,000
- Average customer retention rate: 60%
- Average customer acquisition cost: $400
- Expected segment size: 1,000 customers
Assuming a 10% discount rate, which customer segment should the company target to maximize the return on investment? A target customer segment would have higher customer lifetime value (CLV). Note that CLV is calculated by using the following formula:

CLV = (Average Annual Revenue per Customer * Gross Margin %) * (Retention Rate / (1 + Discount Rate - Retention Rate)) - Customer Acquisition Cost

Easy

Supply Chain Management
Cost Reduction
Solve
A company is considering two options to optimize its supply chain and reduce costs. The following data has been provided for each option:

Option Alpha:

- Annual transportation cost reduction: $300,000
- Annual inventory carrying cost increase: $250,000
- One-time implementation cost: $100,000

Option Beta:

- Annual transportation cost reduction: $200,000
- Annual inventory carrying cost increase: $150,000
- One-time implementation cost: $50,000

As a business analyst, determine which option provides a higher net cost reduction over a 3-year period.
A: Option Alpha provides a higher net cost reduction.
B: Option Beta provides a higher net cost reduction.
C: Both options provide the same net cost reduction.
D: Neither option provides a net cost reduction.
E: The net cost reduction cannot be determined with the given data.

Easy

Healthcare System
Data Integrity
Normalization
Referential Integrity
Solve
You are designing a data model for a healthcare system with the following requirements:
 image
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?
 image
 image
 image

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
 image
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

Easy

Advanced PLG Strategy and Customer Success
Product Led Growth

2 mins

Product Management
Solve

Medium

Increase conversion

2 mins

Product Management
Solve

Easy

Pricing Strategy for a New Product Line
Pricing Strategy
Market Analysis

2 mins

Product Management
Solve

Medium

Product Lifecycle and Marketing Strategy
Product Lifecycle Management
Marketing Strategies
User Acquisition

2 mins

Product Management
Solve

Easy

Safe distancing measures

2 mins

Product Management
Solve

Medium

PV of customer segments
Market Segmentation
ROI
CLV

3 mins

Business Analysis
Solve

Easy

Supply Chain Management
Cost Reduction

2 mins

Business Analysis
Solve

Easy

Healthcare System
Data Integrity
Normalization
Referential Integrity

2 mins

Data Modeling
Solve

Hard

ER Diagram and minimum tables
ER Diagram

2 mins

Data Modeling
Solve

Medium

Normalization Process
Normalization
Database Design
Anomaly Elimination

3 mins

Data Modeling
Solve

Medium

University Courses
ER Diagrams
Complex Relationships
Integrity Constraints

2 mins

Data Modeling
Solve
🧐 Question🔧 Skill💪 Difficulty⌛ Time
Advanced PLG Strategy and Customer Success
Product Led Growth
Product Management
Easy2 mins
Solve
Increase conversion
Product Management
Medium2 mins
Solve
Pricing Strategy for a New Product Line
Pricing Strategy
Market Analysis
Product Management
Easy2 mins
Solve
Product Lifecycle and Marketing Strategy
Product Lifecycle Management
Marketing Strategies
User Acquisition
Product Management
Medium2 mins
Solve
Safe distancing measures
Product Management
Easy2 mins
Solve
PV of customer segments
Market Segmentation
ROI
CLV
Business Analysis
Medium3 mins
Solve
Supply Chain Management
Cost Reduction
Business Analysis
Easy2 mins
Solve
Healthcare System
Data Integrity
Normalization
Referential Integrity
Data Modeling
Easy2 mins
Solve
ER Diagram and minimum tables
ER Diagram
Data Modeling
Hard2 mins
Solve
Normalization Process
Normalization
Database Design
Anomaly Elimination
Data Modeling
Medium3 mins
Solve
University Courses
ER Diagrams
Complex Relationships
Integrity Constraints
Data Modeling
Medium2 mins
Solve
Reason #4

1200+ customers in 75 countries

customers in 75 countries
Brandon

Med Adaface var vi i stand til å optimalisere den første screeningsprosessen vår med oppover 75 %, og frigjorde dyrebar tid for både ansettelsesledere og vårt talentanskaffelsesteam!


Brandon Lee, Leder for mennesker, Love, Bonito

Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment AI Product Manager 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 AI Product Manager 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.

invite candidates
Reason #7

Detailed scorecards & benchmarks

Vis eksempler på scorecard
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.

test completion rate
Reason #9

Advanced Proctoring


Learn more

About the AI Product Manager Online Test

Why you should use Pre-employment AI Product Manager Test?

The AI Product Manager 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:

  • Produktstyring: Evne til å administrere og føre tilsyn med utviklingen og lanseringen av AI-produkter
  • Forretningsanalyse: Kompetanse i å analysere forretningsprosesser for å identifisere krav til AI-produktutvikling
  • Artificial-Intelligence: Forståelse av AI-konsepter, algoritmer og teknikker
  • Datamodellering: Ferdighet i utforming og modellering av datastrukturer for AI-applikasjoner
  • Prosjektledelse: Evne til å lede og koordinere AI-prosjekter fra initiering til fullføring
  • Dataanalyse: Kompetanse i å analysere og tolke data for å drive AI-produktbeslutninger
  • Kommunikasjonsferdigheter: Effektiv kommunikasjon for å formidle komplekse AI-konsepter og krav
  • Historiefortelling: Evne til effektivt å kommunisere AI -produktmål, resultater og anbefalinger gjennom historiefortelling
  • Generative-AI-applikasjoner: Kunnskap om å generere kreative og intelligente utganger ved bruk av AI-algoritmer
  • AI-Fundamentals: Kompetanse i grunnleggende AI-konsepter og prinsipper

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 AI Product Manager Test?

  • historiefortelling

    historiefortelling er kunsten å formidle informasjon eller begreper gjennom engasjerende fortellinger. I sammenheng med AI -produktstyring er historiefortelling avgjørende for effektivt å kommunisere verdien og virkningen av AI -løsninger på interessenter og kunder.

  • AI -grunnleggende forhold

    AI -grunnleggende forhold omfatter grunnleggende kunnskap og forståelse av forskjellige AI -konsepter, teknikker og algoritmer. Denne ferdigheten måler kandidatens dyktighet i grunnleggende AI -prinsipper, slik at de kan ta informerte beslutninger og bidra effektivt til AI -produktstyring.

  • Generative AI -applikasjoner

    Generative AI -applikasjoner involverer bruk av algoritmer For å generere originalt innhold, for eksempel tekst, bilder eller musikk. Å vurdere denne ferdigheten hjelper deg med å evaluere kandidatens evne til å utnytte generative AI -teknikker for å lage innovative og kreative løsninger innen produktstyring.

  • Datamodellering

    Datamodellering innebærer prosessen med å utforme strukturen og organisasjonen av data for å muliggjøre effektiv lagring, gjenfinning og analyse. Denne ferdigheten er viktig for AI-produktledere, da den hjelper til med å forme dataarkitekturen og sikre datadrevet beslutningstaking gjennom hele produktets livssyklus.

  • Prosjektstyring

    Prosjektstyring omfatter planleggingen, organisere og utføre prosjekter for å oppnå spesifikke mål og mål. Evaluering av denne ferdigheten hjelper deg med å vurdere kandidatens evne til effektivt å administrere AI -produktutvikling, sikre rettidig levering og vellykket implementering.

  • Dataanalyse

    Dataanalyse innebærer å undersøke og tolke data for å avdekke trender, mønstre , og innsikt. Denne ferdigheten er avgjørende for AI-produktledere, da den gjør dem i stand til å ta datadrevne beslutninger, optimalisere produktytelsen og identifisere forbedringsområder.

  • Kommunikasjonsevner

    Kommunikasjonsevner refererer til Evne til effektivt å formidle informasjon, ideer og krav til forskjellige interessenter. I sammenheng med AI-produktstyring er sterke kommunikasjonsevner avgjørende for å samarbeide med tverrfunksjonelle team, presentere ideer og få støtte for AI-initiativer.

  • Forretningsanalyse

    Forretningsanalyse innebærer Evaluering av forretningsprosesser, identifisere problemer og anbefale løsninger for forbedret effektivitet og lønnsomhet. Denne ferdigheten måles i testen, da den gjør det mulig for AI -produktledere å forstå den bredere forretningskonteksten, analysere markedstrender og justere AI -strategier med organisatoriske mål.

  • 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 AI Product Manager Test to be based on.

    Produkt veikart
    Markedsundersøkelser
    Konkurrent-analyse
    Brukerhistoriekartlegging
    Brukerkrav
    Maskinlæring
    Naturlig språkbehandling
    Datamaskin syn
    Anbefale systemer
    Enhet-forhold modellering
    Konseptuell modellering
    Fysisk modellering
    Dataflytskjemaer
    Prosjektplanlegging
    Sprintplanlegging
    Agile metodologier
    Kanban -tavler
    Dataanalyseteknikker
    Datavisualisering
    Statistisk analyse
    Datadrevet beslutningstaking
    Effektiv kommunikasjon
    Interessentadministrasjon
    Intervjueteknikker
    Kritisk tenking
    SWOT-analyse
    GAP -analyse
    Mulighetsstudie
    Krav til fremkalling
    Brukerhistorieskriving
    Forretningsprosessmodellering
    Årsaksanalyse
    Bruk saksmodellering
    Beslutningstrær
    Regresjonsanalyse
    Produktdokumentasjon
    Risikostyring
    Prototyping
    Historiefortellingsteknikker
    Verdivurdering
    ROI -analyse
    Kundesegmentering
    Markedsutviklingsanalyse
    Økonomisk påvirkningsvurdering
    Forretningsmodell lerret
    Markedskrav dokument
    Brukerakseptstesting
    Vurdering av datakvalitet
    Databasedesign
    Cloud computing
    Kunstige nevrale nettverk
    Big Data Analytics
    Datavarehus
    Datautvinning
    Rengjøring av data
    Sentimentanalyse
    A/B -testing
    Data personvern og etikk
    Endringsledelse
    Problemløsningsevner
    Tidsfordriv

What roles can I use the AI Product Manager Test for?

  • AI produktsjef
  • Forretningsanalytiker
  • Data analytiker
  • Business Intelligence Developer
  • Machine Learning Engineer
  • Teknisk egnethet i Python
  • Ledervurdering
  • Plasseringsvurdering
  • Campus plasseringsvurdering

How is the AI Product Manager 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

  • Erfaring med implementering av AI -prosjekt
  • Evne til å designe og utvikle AI -modeller
  • Forståelse av AI -etikk og rettferdighetsprinsipper
  • Erfaring med å integrere AI -modeller i produksjonssystemer
  • Kompetanse i naturlig språkbehandlingsalgoritmer
  • Kunnskap om maskinlæringsalgoritmer og teknikker
  • Erfaring med dype læringsrammer som Tensorflow eller Pytorch
  • Kompetanse i datavisualiseringsteknikker for AI -analyse
  • Evne til å tolke og forklare AI -modellutganger til interessenter
  • Erfaring med AI -distribusjon og skalering i skymiljøer
  • Erfaring i AI prosjektledelse og teamkoordinering
Singapore government logo

Ansettelseslederne mente at de gjennom de tekniske spørsmålene de stilte under panelintervjuene, var i stand til å fortelle hvilke kandidater som scoret bedre, og differensierte med de som ikke skåret like godt. De er svært fornøyd med kvaliteten på kandidatene som er på listen med Adaface-screeningen.


85%
Reduksjon i screeningstid

AI Product Manager Hiring Test Vanlige spørsmål

Kan jeg kombinere flere ferdigheter til en tilpasset vurdering?

Ja absolutt. Tilpassede vurderinger er satt opp basert på stillingsbeskrivelsen din, og vil inneholde spørsmål om alle må-ha ferdigheter du spesifiserer.

Har du noen anti-juksende eller proktoreringsfunksjoner på plass?

Vi har følgende anti-juksede funksjoner på plass:

  • Ikke-googlable spørsmål
  • IP Proctoring
  • Nettproctoring
  • Webcam Proctoring
  • Deteksjon av plagiering
  • Sikker nettleser

Les mer om Proctoring -funksjonene.

Hvordan tolker jeg testresultater?

Den viktigste tingen å huske på er at en vurdering er et eliminasjonsverktøy, ikke et seleksjonsverktøy. En ferdighetsvurdering er optimalisert for å hjelpe deg med å eliminere kandidater som ikke er teknisk kvalifisert for rollen, det er ikke optimalisert for å hjelpe deg med å finne den beste kandidaten for rollen. Så den ideelle måten å bruke en vurdering på er å bestemme en terskelpoeng (vanligvis 55%, vi hjelper deg med å benchmark) og invitere alle kandidater som scorer over terskelen for de neste rundene med intervjuet.

Hvilken opplevelsesnivå kan jeg bruke denne testen til?

Hver ADAFACE -vurdering er tilpasset din stillingsbeskrivelse/ ideell kandidatperson (våre fageksperter vil velge de riktige spørsmålene for din vurdering fra vårt bibliotek med 10000+ spørsmål). Denne vurderingen kan tilpasses for ethvert opplevelsesnivå.

Får hver kandidat de samme spørsmålene?

Ja, det gjør det mye lettere for deg å sammenligne kandidater. Alternativer for MCQ -spørsmål og rekkefølgen på spørsmål er randomisert. Vi har anti-juksing/proctoring funksjoner på plass. I vår bedriftsplan har vi også muligheten til å lage flere versjoner av den samme vurderingen med spørsmål med lignende vanskelighetsnivåer.

Jeg er en kandidat. Kan jeg prøve en praksisprøve?

Nei. Dessverre støtter vi ikke praksisprøver for øyeblikket. Du kan imidlertid bruke eksemplet spørsmål for praksis.

Hva koster ved å bruke denne testen?

Du kan sjekke ut prisplanene våre.

Kan jeg få en gratis prøveperiode?

Ja, du kan registrere deg gratis og forhåndsvise denne testen.

Jeg flyttet nettopp til en betalt plan. Hvordan kan jeg be om en tilpasset vurdering?

Her er en rask guide om Hvordan be om en tilpasset vurdering på adaface.

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