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About the test:

De AI Product Manager-test is ontworpen om de kennis en vaardigheden van een kandidaat bij het beheren van AI-gedreven producten te beoordelen. Het evalueert het begrip van AI -concepten, productstrategie, klantinzichten, projectbeheer en gegevensanalyse.

Covered skills:

  • Verhaal vertellen
  • Generatieve AI -toepassingen
  • Project management
  • Communicatie vaardigheden
  • AI Fundamentals
  • Datamodellering
  • Gegevensanalyse
  • Zakelijke analyse

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9 reasons why
9 reasons why

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



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:

  • Mogelijkheid om routekaarten te maken en te beheren
  • Bekwaam in het uitvoeren van zakelijke analyse en verzamelvereisten
  • Inzicht in concepten en toepassingen van kunstmatige intelligentie
  • Vaardigheid in datamodelleringstechnieken
  • Ervaring met projectmanagement en agile methoden
  • Sterke data -analysevaardigheden voor geïnformeerde besluitvorming
  • Uitstekende communicatieve vaardigheden voor effectieve samenwerking
  • Mogelijkheid om grondige bedrijfsanalyse uit te voeren
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
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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 AI Product Manager Test zal niet-googelbaar zijn.

🧐 Question

Easy

Advanced PLG Strategy and Customer Success
Product Led Growth
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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
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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
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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
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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
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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?
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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
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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
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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
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You are designing a data model for a healthcare system with the following requirements:
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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
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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
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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
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 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
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Medium

Increase conversion

2 mins

Product Management
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Easy

Pricing Strategy for a New Product Line
Pricing Strategy
Market Analysis

2 mins

Product Management
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Medium

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

2 mins

Product Management
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Easy

Safe distancing measures

2 mins

Product Management
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Medium

PV of customer segments
Market Segmentation
ROI
CLV

3 mins

Business Analysis
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Easy

Supply Chain Management
Cost Reduction

2 mins

Business Analysis
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Easy

Healthcare System
Data Integrity
Normalization
Referential Integrity

2 mins

Data Modeling
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Hard

ER Diagram and minimum tables
ER Diagram

2 mins

Data Modeling
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Medium

Normalization Process
Normalization
Database Design
Anomaly Elimination

3 mins

Data Modeling
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Medium

University Courses
ER Diagrams
Complex Relationships
Integrity Constraints

2 mins

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

1200+ customers in 75 countries

customers in 75 countries
Brandon

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 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

Bekijk Sample Scorecard
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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.

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:

  • Productmanagement: vermogen om de ontwikkeling en lancering van AI-producten te beheren en te overzien
  • Bedrijfsanalyse: vaardigheid in het analyseren van bedrijfsprocessen om de vereisten voor AI-productontwikkeling te identificeren
  • Kunstmatige intelligentie: begrip van AI-concepten, algoritmen en technieken
  • Data-modellering: vaardigheid in het ontwerpen en modelleren van gegevensstructuren voor AI-toepassingen
  • Projectbeheer: mogelijkheden om AI-projecten te leiden en te coördineren van initiatie tot voltooiing
  • Data-analyse: vaardigheid in het analyseren en interpreteren van gegevens om AI-productbeslissingen te stimuleren
  • Communicatie-vaardigheden: effectieve communicatie om complexe AI-concepten en vereisten over te brengen
  • Storytelling: vermogen om AI -productdoelen, resultaten en aanbevelingen effectief te communiceren door verhalen te vertellen
  • Generatieve-ai-applicaties: kennis van het genereren van creatieve en intelligente outputs met behulp van AI-algoritmen
  • AI-Fundamentals: Vaardigheid in fundamentele AI-concepten en principes

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?

  • AI Fundamentals

    AI AI Fundamentals omvatten de fundamentele kennis en begrip van verschillende AI -concepten, technieken en algoritmen. Deze vaardigheid meet de vaardigheid van de kandidaat in fundamentele AI -principes, waardoor ze geïnformeerde beslissingen kunnen nemen en effectief bijdragen aan AI -productbeheer.

  • generatieve AI -toepassingen

    Generatieve AI -toepassingen omvatten het gebruik van algoritmen om originele inhoud te genereren, zoals tekst, afbeeldingen of muziek. Het beoordelen van deze vaardigheid helpt bij het evalueren van het vermogen van de kandidaat om generatieve AI -technieken te benutten om innovatieve en creatieve oplossingen in productbeheer te creëren.

  • datamodellering

    Gegevensmodellering omvat het proces van het ontwerpen van de structuur en organisatie van gegevens om efficiënte opslag, ophalen en analyse mogelijk te maken. Deze vaardigheid is belangrijk voor AI-productmanagers, omdat het helpt bij het vormgeven van de gegevensarchitectuur en het zorgen voor gegevensgestuurde besluitvorming gedurende de levenscyclus van het product.

  • Projectbeheer

    Projectmanagement omvat de planning, Het organiseren en uitvoeren van projecten om specifieke doelen en doelstellingen te bereiken. Het evalueren van deze vaardigheid helpt bij het beoordelen van het vermogen van de kandidaat om AI -productontwikkeling effectief te beheren, om tijdige levering en succesvolle implementatie te waarborgen.

  • data -analyse

    Gegevensanalyse omvat het onderzoeken en interpreteren van gegevens om trends, patronen te ontdekken, patronen, patronen en inzichten. Deze vaardigheid is essentieel voor AI-productmanagers, omdat het hen in staat stelt om gegevensgestuurde beslissingen te nemen, productprestaties te optimaliseren en gebieden voor verbetering te identificeren.

  • communicatievaardigheden

    Communicatievaardigheden verwijzen naar de Mogelijkheid om informatie, ideeën en vereisten effectief over te brengen aan verschillende belanghebbenden. In de context van AI-productbeheer zijn sterke communicatieve vaardigheden cruciaal voor het samenwerken met cross-functionele teams, het presenteren van ideeën en het krijgen van ondersteuning voor AI-initiatieven.

  • Business Analysis

    Business Analysis omvat bedrijfsanalyse Evaluatie van bedrijfsprocessen, het identificeren van problemen en het aanbevelen van oplossingen voor verbeterde efficiëntie en winstgevendheid. Deze vaardigheid wordt in de test gemeten, omdat het AI -productmanagers in staat stelt de bredere zakelijke context te begrijpen, markttrends te analyseren en AI -strategieën af te stemmen op organisatiedoelen.

  • 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.

    Productroutekaart
    Marktonderzoek
    Concurrentanalyse
    Gebruikersverhaalmapping
    Gebruikers vereisten
    Machine Learning
    Natuurlijke taalverwerking
    Computer visie
    Aanbevelingssystemen
    Modellering van entiteit-relatie
    Conceptuele modellering
    Fysieke modellering
    Gegevensstroomdiagrammen
    Project planning
    Sprintplanning
    Agile -methoden
    Kanban -boards
    Technieken voor gegevensanalyse
    Data visualisatie
    statistische analyse
    Gegevensgestuurde besluitvorming
    Effectieve communicatie
    Stakeholder management
    Interviewtechnieken
    Kritisch denken
    SWOT-analyse
    Gap -analyse
    Haalbaarheidsstudie
    Vereisten opwekking
    Gebruikersverhaal schrijven
    Bedrijfsprocesmodellering
    Root Oorzaakanalyse
    Gebruik case modellering
    Beslissingsbomen
    Regressie analyse
    Productdocumentatie
    Risicomanagement
    Prototyping
    Verhalentechnieken
    Waarde voorstel
    ROI -analyse
    Klantsegmentatie
    Markttrends Analyse
    Economische impactbeoordeling
    Bedrijfsmodel Canvas
    Marktvereisten document
    Gebruikersacceptatietests
    Beoordeling van gegevenskwaliteit
    Database -ontwerp
    Cloud computing
    Kunstmatige neurale netwerken
    Big Data Analytics
    Data opslagplaats
    Data-extractie
    Gegevensreiniging
    Sentiment analyse
    A/B -testen
    Gegevensprivacy en ethiek
    Change Management
    Probleemoplossend vermogen
    Tijdsbeheer
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What roles can I use the AI Product Manager Test for?

  • AI Product Manager
  • Bedrijfsanalist
  • Data -analist
  • Business Intelligence Developer
  • Ingenieur van machine learning
  • Technische aanleg in Python
  • Leiderschapsbeoordeling
  • Plaatsing beoordeling
  • Campus Placement Assessment

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

  • Ervaring met AI -projectimplementatie
  • Mogelijkheid om AI -modellen te ontwerpen en te ontwikkelen
  • Inzicht in AI -ethiek en billijkheidsprincipes
  • Ervaring met het integreren van AI -modellen in productiesystemen
  • Vaardigheid in natuurlijke taalverwerking -algoritmen
  • Kennis van machine learning -algoritmen en technieken
  • Ervaring met deep learning frameworks zoals TensorFlow of Pytorch
  • Vaardigheid in datavisualisatietechnieken voor AI -analyse
  • Mogelijkheid om AI -modeloutputs te interpreteren en uit te leggen aan belanghebbenden
  • Ervaring met AI -implementatie en schaalverdeling in cloudomgevingen
  • Ervaring met AI -projectmanagement en teamcoördinatie
Singapore government logo

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

AI Product Manager 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.

Ik ben een kandidaat. Kan ik een oefentest proberen?

Nee. Helaas ondersteunen we op dit moment geen oefentests. U kunt echter onze voorbeeldvragen gebruiken voor praktijk.

Wat zijn de kosten van het gebruik van deze test?

U kunt onze [prijsplannen] bekijken (https://www.adaface.com/pricing/).

Kan ik een gratis proefperiode krijgen?

Ja, u kunt gratis aanmelden en een voorbeeld van deze test.

Ik ben net naar een betaald plan verhuisd. Hoe kan ik een aangepaste beoordeling aanvragen?

Hier is een korte handleiding over hoe een aangepaste beoordeling aanvragen op Adaface.

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