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About the test:

AI Product Manager-testen er designet til at vurdere en kandidats viden og færdigheder til styring af AI-drevne produkter. Det evaluerer forståelsen af ​​AI -koncepter, produktstrategi, kundeindsigt, projektstyring og dataanalyse.

Covered skills:

  • Historiefortælling
  • Generative AI -applikationer
  • Projektledelse
  • Kommunikationsegenskaber
  • AI Fundamentals
  • Datamodellering
  • Dataanalyse
  • Forretningsanalyse

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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:

  • Evne til at oprette og administrere produktkørsel
  • Dygtig til at udføre forretningsanalyse og indsamlingskrav
  • Forståelse af kunstige intelligensbegreber og applikationer
  • Færdighed i datamodelleringsteknikker
  • Erfaring med projektstyring og Agile -metoder
  • Stærke dataanalysefærdigheder til informeret beslutningstagning
  • Fremragende kommunikationsevner til effektivt samarbejde
  • Evne til at udføre 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
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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 AI Product Manager -test vil være ikke-gåbart.

🧐 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:
 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
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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

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 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

Se prøvescorekort
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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:

  • Produktstyring: Evne til at styre og føre tilsyn med udviklingen og lanceringen af ​​AI-produkter
  • Business-analyse: Færdighed i analyse af forretningsprocesser for at identificere krav til AI-produktudvikling
  • Kunstig intelligens: Forståelse af AI-koncepter, algoritmer og teknikker
  • Datamodellering: Færdighed i design og modellering af datastrukturer til AI-applikationer
  • Projektledelse: kapacitet til at lede og koordinere AI-projekter fra initiering til færdiggørelse
  • Dataanalyse: Færdighed i analyse og fortolkning af data for at drive AI-produktbeslutninger
  • Kommunikationsskilder: Effektiv kommunikation til at formidle komplekse AI-koncepter og krav
  • Historiefortælling: Evne til effektivt at kommunikere AI -produktmål, resultater og anbefalinger gennem historiefortælling
  • Generative-AI-applikationer: Kendskab til at generere kreative og intelligente output ved hjælp af AI-algoritmer
  • AI-Fundamentals: Færdighed i grundlæggende AI-koncepter og principper

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?

  • historiefortælling

    historiefortælling er kunsten at formidle information eller koncepter gennem engagerende fortællinger. I forbindelse med AI -produktstyring er historiefortælling afgørende for effektivt at kommunikere værdien og virkningen af ​​AI -løsninger på interessenter og kunder.

  • AI Fundamentals </H4> <p> AI Fundamentals omfatter den grundlæggende viden og forståelse af forskellige AI -koncepter, teknikker og algoritmer. Denne færdighed måler kandidatens dygtighed i grundlæggende AI -principper, hvilket gør dem i stand til at tage informerede beslutninger og bidrage effektivt til AI -produktstyring. </p> <h4> Generative AI -applikationer </H4> <p> Generative AI -applikationer involverer brugen af ​​algoritmer At generere originalt indhold, såsom tekst, billeder eller musik. Evaluering af denne færdighed hjælper med at evaluere kandidatens evne til at udnytte generative AI -teknikker til at skabe innovative og kreative løsninger i produktstyring. </p> <h4> datamodellering

    Datamodellering involverer processen med at designe strukturen og organisationen af data for at muliggøre effektiv opbevaring, hentning og analyse. Denne færdighed er vigtig for AI-produktledere, da det hjælper med at forme dataarkitekturen og sikre datadrevet beslutningstagning gennem hele produktets livscyklus.

  • projektstyring

    Projektledelse omfatter planlægningen, planlægningen, planlægningen, planlægningen, planlægningen, planlægningen, planlægningen, planlægningen, planlægningen Organisering og udførelse af projekter for at nå specifikke mål og mål. Evaluering af denne færdighed hjælper med at vurdere kandidatens evne til effektivt at styre AI -produktudvikling, sikre rettidig levering og vellykket implementering.

  • dataanalyse

    Dataanalyse involverer at undersøge og fortolke data for at afdække tendenser, mønstre og indsigt. Denne færdighed er vigtig for AI-produktledere, da det gør det muligt for dem at tage datadrevne beslutninger, optimere produktydelsen og identificere områder til forbedring.

  • kommunikationsevner </H4> <p> Kommunikationsevner henviser til de Evne til effektivt at formidle information, ideer og krav til forskellige interessenter. I forbindelse med AI-produktstyring er stærke kommunikationsevner afgørende for at samarbejde med tværfunktionelle teams, præsentere ideer og få støtte til AI-initiativer. </p> <h4> forretningsanalyse

    Forretningsanalyse involverer involverer Evaluering af forretningsprocesser, identificering af problemer og anbefaler løsninger til forbedret effektivitet og rentabilitet. Denne færdighed måles i testen, da den gør det muligt for AI -produktledere at forstå den bredere forretningskontekst, analysere markedstendenser 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.

    Produktkøreplan
    Markedsundersøgelse
    Konkurrentanalyse
    Kortlægning af brugerhistorie
    Brugerkrav
    Maskinelæring
    Naturlig sprogbehandling
    Computervision
    Anbefalingssystemer
    Enhedsrelationsmodellering
    Konceptuel modellering
    Fysisk modellering
    Data flowdiagrammer
    Projekt planlægning
    Sprintplanlægning
    Agile metodologier
    Kanban -bestyrelser
    Dataanalyseteknikker
    Datavisualisering
    Statistisk analyse
    Data-drevet beslutningstagning
    Effektiv kommunikation
    Interessentstyring
    Interviewteknikker
    Kritisk tænkning
    SWOT-analyse
    Gap-analyse
    Forundersøgelse
    Krav til fremkaldelse
    Brugerhistorikskrivning
    Modellering af forretningsprocesser
    Root Cause Analysis
    Brug sagsmodellering
    Beslutningstræer
    Regressions analyse
    Produktdokumentation
    Risikostyring
    Prototyping
    Historiefortællingsteknikker
    Værdiforslag
    ROI -analyse
    Kundesegmentering
    Markedstrendsanalyse
    Vurdering af økonomisk konsekvens
    Forretningsmodel lærred
    Markedskrav dokument
    Brugeracceptionstest
    Datakvalitetsvurdering
    Databasedesign
    Skyen
    Kunstige neurale netværk
    Big Data Analytics
    Datalagring
    Dataekstraktion
    Datarensning
    Sentimentanalyse
    A/B -test
    Databeskyttelse og etik
    Forandringsledelse
    Problemløsningsevner
    Tidsadministration
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What roles can I use the AI Product Manager Test for?

  • AI Product Manager
  • Business analytiker
  • Dataanalytiker
  • Business Intelligence Developer
  • Machine Learning Engineer
  • Teknisk egnethed i Python
  • Ledervurdering
  • Placeringsvurdering
  • Vurdering af campusplacering

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 AI -projektimplementering
  • Evne til at designe og udvikle AI -modeller
  • Forståelse af AI -etik og retfærdighedsprincipper
  • Erfaring med at integrere AI -modeller i produktionssystemer
  • Færdighed i naturlige sprogbehandlingsalgoritmer
  • Kendskab til maskinlæringsalgoritmer og teknikker
  • Erfaring med dyb læringsrammer som TensorFlow eller Pytorch
  • Færdighed i datavisualiseringsteknikker til AI -analyse
  • Evne til at fortolke og forklare AI -modeludgange til interessenter
  • Erfaring med AI -implementering og skalering i skymiljøer
  • Erfaring med AI -projektstyring og teamkoordination
Singapore government logo

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

AI Product Manager 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.

Jeg er kandidat. Kan jeg prøve en øvelsestest?

Nej. Desværre understøtter vi ikke praksisforsøg i øjeblikket. Du kan dog bruge vores eksempler på spørgsmål til praksis.

Hvad er omkostningerne ved at bruge denne test?

Du kan tjekke vores prisplaner.

Kan jeg få en gratis prøve?

Ja, du kan tilmelde dig gratis og forhåndsvise denne test.

Jeg flyttede lige til en betalt plan. Hvordan kan jeg anmode om en brugerdefineret vurdering?

Her er en hurtig guide til hvordan man anmoder om en brugerdefineret vurdering på adaface.

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