Why you should use Machine Learning in GCP Online Test?

The Machine learning in GCP 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: Modellen voor het implementeren en implementeren van machine learning -modellen in Google Cloud Platform Gegevenspijpleidingen maken en beheren met GCP -services Big data -oplossingen bouwen en optimaliseren met behulp van GCP -tools Het ontwikkelen en afstemmen van complexe machine learning -algoritmen Gegevensvoorbewerking en schoonmaaktaken uitvoeren Statistische analyse en hypothese -testtechnieken toepassen om gegevens te evalueren Het ontwerpen en implementeren van schaalbare en efficiënte oplossingen voor gegevensopslag Gebruikmakend van GCP API's en -services voor gegevensintegratie en extractie Virtuele machines en containers configureren en beheren op GCP Implementatie van beveiligingsmaatregelen en best practices voor GCP -omgevingen

Machine Learning in GCP Online Test

Q: What topics are covered in the Machine Learning in GCP Online Test?

Machine learning in GCP Google Cloud Platform (GCP) Fundamentals Gegevensanalyse Data Science Cloud computing basics

About the test:

De machine learning in GCP -test evalueert het begrip van een kandidaat van machine learning -concepten en hun vermogen om Google Cloud -platform te gebruiken voor taken voor machine learning. De test behandelt onderwerpen zoals GCP -services voor machine learning, data -analyse, data science en cloud computing.

Covered skills:

Machine learning in GCP
Gegevensanalyse
Cloud computing basics

Google Cloud Platform (GCP) Fundamentals
Data Science

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9 reasons why

Adaface Machine Learning in GCP Test is the most accurate way to shortlist Ingenieur van machine learnings

Reason #1

Tests for on-the-job skills

The Machine Learning in GCP Online Test helps recruiters and hiring managers identify qualified candidates from a pool of resumes, and helps in taking objective hiring decisions. It reduces the administrative overhead of interviewing too many candidates and saves time by filtering out unqualified candidates at the first step of the hiring process.

The test screens for the following skills that hiring managers look for in candidates:

Mogelijkheid om machine learning -modellen te implementeren en te beheren op Google Cloud Platform (GCP)
Vaardigheid in Google Cloud Platform (GCP) Fundamentals
Mogelijkheid om grote datasets te analyseren voor inzichten en trends
Inzicht in verschillende data science -technieken en algoritmen
Kennis van de basisprincipes van cloud computing
Bekendheid met GCP -tools en services voor machine learning
Expertise in het ontwerpen en implementeren van machine learning pipelines
Mogelijkheid om gegevens te evalueren en te visualiseren met behulp van GCP -tools
Bekwaam in het bouwen en evalueren van voorspellende modellen
Ervaring met het implementeren van machine learning -modellen in de productie
Bekwaam in data -voorbewerking en functie engineering
Inzicht in begeleid en niet -toezicht leeralgoritmen

Reason #2

No trick questions

Traditional assessment tools use trick questions and puzzles for the screening, which creates a lot of frustration among candidates about having to go through irrelevant screening assessments.

View sample questions

The main reason we started Adaface is that traditional pre-employment assessment platforms are not a fair way for companies to evaluate candidates. At Adaface, our mission is to help companies find great candidates by assessing on-the-job skills required for a role.

Why we started Adaface

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Reason #3

Non-googleable questions

We have a very high focus on the quality of questions that test for on-the-job skills. Every question is non-googleable and we have a very high bar for the level of subject matter experts we onboard to create these questions. We have crawlers to check if any of the questions are leaked online. If/ when a question gets leaked, we get an alert. We change the question for you & let you know.

How we design questions

Dit zijn slechts een klein monster uit onze bibliotheek met meer dan 10.000 vragen. De werkelijke vragen hierover Machine learning in GCP zal niet-googelbaar zijn.

🧐 Question
Medium Healthy Replica Google Kubernetes Engine	Try practice test
Sam Sankman works as Cloud Associate at FTXX Inc. FTXX’s core application is deployed in a Google Kubernetes Engine cluster. When a new version of the application is released, CI/CD tool updates the spec.template.spec.containers[0].image value to reference the Docker image of the new application version. When the Deployment object applies the change, Sam wants to deploy at least 1 replica of the new version and maintain the previous replicas until the new replica is healthy. Which change should Sam make to the Kubernetes Engine Deployment object shown below? A: Set the Deployment Strategy to Rolling Update B: Set the Deployment Strategy to Recreate C: Set maxSurge to 0 D: Set maxSurge to 1 E: Set maxUnavailable to 0 F: Set maxUnavailable to 1
Medium Network Rules Virtual Private Cloud SSH	Try practice test
Depp works as Google Cloud Architect at Amber Inc. Deep created an instance with following firewall rules: NAME: ssh-allow NETWORK: testnet DIRECTION: INGRESS PRIORITY: 100 ALLOW: tcp:22 NAME: deny-everything NETWORK: testnet DIRECTION: INGRESS PRIORITY: 400 DENY: tcp:0-65535,udp:0-6553 What would happen if Depp tries SSH to the instance now? A: SSH would be denied as the deny rule overrides the allow B: SSH would be allowed as the allow rule overrides the deny C: SSH would be denied and would need instance reboot for the to allow rule to take effect D: SSH would be denied and would need gcloud firewall refresh command for the allow rule to take effect
Easy Storage Costs Cloud Storage	Try practice test
Kloo is a social media platform similar to Twitter in the EU market and uses Google Cloud for their infrastructure requirements. Kloo generates multiple files per day. Owing to data regulations, Kloo has to store these files in the EU regional bucket. Kloo’s data team needs only the files of last 14 days for their algorithms and APIs but need to store every single file for safe keeping and regulatory purposes even though the past data is rarely accessed. Given these constraints, how can Kloo’s data team lower the storage costs?
Medium Storage in Compute Recovery Cloud Storage Backups	Try practice test
You work as a data manager for a large e-commerce company that heavily relies on a PostgreSQL database running on a GCP Compute Engine instance. The company has a well-established backup policy, which includes: 1. Full database backup every Monday at 1:00 AM. 2. Differential backup every day at 1:00 AM, except Monday. 3. Transaction log backup every 30 minutes. These backups are stored in Google Cloud Storage. Today is Thursday, and a data corruption incident occurred at 4:15 PM. You have the following backup files available: 1. Full backup: Full_Backup_Mon.bak taken on Monday 1:00 AM. 2. Differential backups: Diff_Backup_Tue.bak, Diff_Backup_Wed.bak, Diff_Backup_Thu.bak taken at 1:00 AM on their respective days. 3. Transaction log backups: 30-minute interval backups from Monday 1:30 AM until Thursday 4:00 PM, like TLog_Backup_Thu_1530.bak, TLog_Backup_Thu_1600.bak. Given the RPO (Recovery Point Objective) of 30 minutes, which of the following sequences of restore operations would ensure minimal data loss? A: Full_Backup_Mon.bak, Diff_Backup_Thu.bak, then Transaction Log backups from Thursday 1:30 AM to 4:00 PM. B: Full_Backup_Mon.bak, Diff_Backup_Wed.bak, then all Transaction Log backups from Wednesday and Thursday. C: Full_Backup_Mon.bak, Diff_Backup_Thu.bak, then all Transaction Log backups from Thursday. D: Full_Backup_Mon.bak, then all Transaction Log backups from Monday to Thursday 4:00 PM. E: Full_Backup_Mon.bak, Diff_Backup_Tue.bak, Diff_Backup_Wed.bak, Diff_Backup_Thu.bak, then Transaction Log backups from Thursday 1:30 AM to 4:00 PM.

	🧐 Question	🔧 Skill
	Medium Healthy Replica Google Kubernetes Engine	2 mins Google Cloud Platform	Try practice test
Sam Sankman works as Cloud Associate at FTXX Inc. FTXX’s core application is deployed in a Google Kubernetes Engine cluster. When a new version of the application is released, CI/CD tool updates the spec.template.spec.containers[0].image value to reference the Docker image of the new application version. When the Deployment object applies the change, Sam wants to deploy at least 1 replica of the new version and maintain the previous replicas until the new replica is healthy. Which change should Sam make to the Kubernetes Engine Deployment object shown below? A: Set the Deployment Strategy to Rolling Update B: Set the Deployment Strategy to Recreate C: Set maxSurge to 0 D: Set maxSurge to 1 E: Set maxUnavailable to 0 F: Set maxUnavailable to 1
	Medium Network Rules Virtual Private Cloud SSH	3 mins Google Cloud Platform	Try practice test
Depp works as Google Cloud Architect at Amber Inc. Deep created an instance with following firewall rules: NAME: ssh-allow NETWORK: testnet DIRECTION: INGRESS PRIORITY: 100 ALLOW: tcp:22 NAME: deny-everything NETWORK: testnet DIRECTION: INGRESS PRIORITY: 400 DENY: tcp:0-65535,udp:0-6553 What would happen if Depp tries SSH to the instance now? A: SSH would be denied as the deny rule overrides the allow B: SSH would be allowed as the allow rule overrides the deny C: SSH would be denied and would need instance reboot for the to allow rule to take effect D: SSH would be denied and would need gcloud firewall refresh command for the allow rule to take effect
	Easy Storage Costs Cloud Storage	2 mins Google Cloud Platform	Try practice test
Kloo is a social media platform similar to Twitter in the EU market and uses Google Cloud for their infrastructure requirements. Kloo generates multiple files per day. Owing to data regulations, Kloo has to store these files in the EU regional bucket. Kloo’s data team needs only the files of last 14 days for their algorithms and APIs but need to store every single file for safe keeping and regulatory purposes even though the past data is rarely accessed. Given these constraints, how can Kloo’s data team lower the storage costs?
	Medium Storage in Compute Recovery Cloud Storage Backups	3 mins Google Cloud Platform	Try practice test
You work as a data manager for a large e-commerce company that heavily relies on a PostgreSQL database running on a GCP Compute Engine instance. The company has a well-established backup policy, which includes: 1. Full database backup every Monday at 1:00 AM. 2. Differential backup every day at 1:00 AM, except Monday. 3. Transaction log backup every 30 minutes. These backups are stored in Google Cloud Storage. Today is Thursday, and a data corruption incident occurred at 4:15 PM. You have the following backup files available: 1. Full backup: Full_Backup_Mon.bak taken on Monday 1:00 AM. 2. Differential backups: Diff_Backup_Tue.bak, Diff_Backup_Wed.bak, Diff_Backup_Thu.bak taken at 1:00 AM on their respective days. 3. Transaction log backups: 30-minute interval backups from Monday 1:30 AM until Thursday 4:00 PM, like TLog_Backup_Thu_1530.bak, TLog_Backup_Thu_1600.bak. Given the RPO (Recovery Point Objective) of 30 minutes, which of the following sequences of restore operations would ensure minimal data loss? A: Full_Backup_Mon.bak, Diff_Backup_Thu.bak, then Transaction Log backups from Thursday 1:30 AM to 4:00 PM. B: Full_Backup_Mon.bak, Diff_Backup_Wed.bak, then all Transaction Log backups from Wednesday and Thursday. C: Full_Backup_Mon.bak, Diff_Backup_Thu.bak, then all Transaction Log backups from Thursday. D: Full_Backup_Mon.bak, then all Transaction Log backups from Monday to Thursday 4:00 PM. E: Full_Backup_Mon.bak, Diff_Backup_Tue.bak, Diff_Backup_Wed.bak, Diff_Backup_Thu.bak, then Transaction Log backups from Thursday 1:30 AM to 4:00 PM.

	🧐 Question	🔧 Skill	💪 Difficulty	⌛ Time
	Healthy Replica Google Kubernetes Engine	Google Cloud Platform	Medium	2 mins	Try practice test
Sam Sankman works as Cloud Associate at FTXX Inc. FTXX’s core application is deployed in a Google Kubernetes Engine cluster. When a new version of the application is released, CI/CD tool updates the spec.template.spec.containers[0].image value to reference the Docker image of the new application version. When the Deployment object applies the change, Sam wants to deploy at least 1 replica of the new version and maintain the previous replicas until the new replica is healthy. Which change should Sam make to the Kubernetes Engine Deployment object shown below? A: Set the Deployment Strategy to Rolling Update B: Set the Deployment Strategy to Recreate C: Set maxSurge to 0 D: Set maxSurge to 1 E: Set maxUnavailable to 0 F: Set maxUnavailable to 1
	Network Rules Virtual Private Cloud SSH	Google Cloud Platform	Medium	3 mins	Try practice test
Depp works as Google Cloud Architect at Amber Inc. Deep created an instance with following firewall rules: NAME: ssh-allow NETWORK: testnet DIRECTION: INGRESS PRIORITY: 100 ALLOW: tcp:22 NAME: deny-everything NETWORK: testnet DIRECTION: INGRESS PRIORITY: 400 DENY: tcp:0-65535,udp:0-6553 What would happen if Depp tries SSH to the instance now? A: SSH would be denied as the deny rule overrides the allow B: SSH would be allowed as the allow rule overrides the deny C: SSH would be denied and would need instance reboot for the to allow rule to take effect D: SSH would be denied and would need gcloud firewall refresh command for the allow rule to take effect
	Storage Costs Cloud Storage	Google Cloud Platform	Easy	2 mins	Try practice test
Kloo is a social media platform similar to Twitter in the EU market and uses Google Cloud for their infrastructure requirements. Kloo generates multiple files per day. Owing to data regulations, Kloo has to store these files in the EU regional bucket. Kloo’s data team needs only the files of last 14 days for their algorithms and APIs but need to store every single file for safe keeping and regulatory purposes even though the past data is rarely accessed. Given these constraints, how can Kloo’s data team lower the storage costs?
	Storage in Compute Recovery Cloud Storage Backups	Google Cloud Platform	Medium	3 mins	Try practice test
You work as a data manager for a large e-commerce company that heavily relies on a PostgreSQL database running on a GCP Compute Engine instance. The company has a well-established backup policy, which includes: 1. Full database backup every Monday at 1:00 AM. 2. Differential backup every day at 1:00 AM, except Monday. 3. Transaction log backup every 30 minutes. These backups are stored in Google Cloud Storage. Today is Thursday, and a data corruption incident occurred at 4:15 PM. You have the following backup files available: 1. Full backup: Full_Backup_Mon.bak taken on Monday 1:00 AM. 2. Differential backups: Diff_Backup_Tue.bak, Diff_Backup_Wed.bak, Diff_Backup_Thu.bak taken at 1:00 AM on their respective days. 3. Transaction log backups: 30-minute interval backups from Monday 1:30 AM until Thursday 4:00 PM, like TLog_Backup_Thu_1530.bak, TLog_Backup_Thu_1600.bak. Given the RPO (Recovery Point Objective) of 30 minutes, which of the following sequences of restore operations would ensure minimal data loss? A: Full_Backup_Mon.bak, Diff_Backup_Thu.bak, then Transaction Log backups from Thursday 1:30 AM to 4:00 PM. B: Full_Backup_Mon.bak, Diff_Backup_Wed.bak, then all Transaction Log backups from Wednesday and Thursday. C: Full_Backup_Mon.bak, Diff_Backup_Thu.bak, then all Transaction Log backups from Thursday. D: Full_Backup_Mon.bak, then all Transaction Log backups from Monday to Thursday 4:00 PM. E: Full_Backup_Mon.bak, Diff_Backup_Tue.bak, Diff_Backup_Wed.bak, Diff_Backup_Thu.bak, then Transaction Log backups from Thursday 1:30 AM to 4:00 PM.

Reason #4

1200+ customers in 75 countries

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

Brandon Lee, Hoofd Mensen, Love, Bonito

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Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Machine learning in GCP 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 Machine learning in GCP from your dashboard by entering their email address.

Public link: You can create a public link for each test that you can share with candidates.

API or integrations: You can invite candidates directly from your ATS by using our pre-built integrations with popular ATS systems or building a custom integration with your in-house ATS.

Reason #7

Detailed scorecards & benchmarks

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Reason #8

High completion rate

Adaface tests are conversational, low-stress, and take just 25-40 mins to complete.

This is why Adaface has the highest test-completion rate (86%), which is more than 2x better than traditional assessments.

Reason #9

Advanced Proctoring

Learn more

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About the Machine Learning in GCP Assessment Test

Why you should use Pre-employment Machine Learning in GCP Online Test?

The Machine learning in GCP 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:

Modellen voor het implementeren en implementeren van machine learning -modellen in Google Cloud Platform
Gegevenspijpleidingen maken en beheren met GCP -services
Big data -oplossingen bouwen en optimaliseren met behulp van GCP -tools
Het ontwikkelen en afstemmen van complexe machine learning -algoritmen
Gegevensvoorbewerking en schoonmaaktaken uitvoeren
Statistische analyse en hypothese -testtechnieken toepassen om gegevens te evalueren
Het ontwerpen en implementeren van schaalbare en efficiënte oplossingen voor gegevensopslag
Gebruikmakend van GCP API's en -services voor gegevensintegratie en extractie
Virtuele machines en containers configureren en beheren op GCP
Implementatie van beveiligingsmaatregelen en best practices voor GCP -omgevingen

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 Machine Learning in GCP Online Test?

Google Cloud Platform (GCP) Fundamentals
Deze vaardigheid omvat de fundamentele kennis van Google Cloud Platform, inclusief de verschillende producten en services, zoals Compute Engine, Storage, BigQuery en Pub/Sub. Het omvat het begrijpen van de concepten en mogelijkheden van GCP, evenals weten hoe ze de bronnen van GCP effectief kunnen gebruiken voor het bouwen, implementeren en beheren van applicaties en gegevens over de cloud.
Data Analysis
Gegevensanalyse omvat het proces van het inspecteren, schoonmaken, transformeren en modelleren van gegevens om nuttige informatie te ontdekken en de besluitvorming te ondersteunen. In de context van deze test verwijst het specifiek naar de mogelijkheid om data -analysetaken uit te voeren met behulp van de tools en services van GCP, zoals BigQuery, DataFlow en DataProC, om inzichten te extraheren, patronen te identificeren en zinvolle conclusies af te leiden uit grote datasets. <// P> <h4> Data Science </h4> <p> Data Science is een multidisciplinair veld dat statistische analyse, machine learning en domeinkennis combineert om waardevolle inzichten te extraheren en complexe problemen op te lossen. In deze test omvat het het beoordelen van de kennis en vaardigheden met betrekking tot het toepassen van data science -technieken en algoritmen met behulp van GCP's machine learning -tools en -services, evenals het effectief interpreteren en communiceren van de resultaten van data -analyse en modelleringstaken.
. Basics voor cloud computing
Deze vaardigheid verwijst naar het begrip van de fundamentele concepten en principes van cloud computing, waaronder virtualisatie, elasticiteit, schaalbaarheid en on-demand resource-voorzieningen. Het omvat het kennen van de voor- en nadelen van cloud computing, evenals de belangrijkste componenten en servicemodellen van cloudinfrastructuur, zoals infrastructuur als een service (IaaS), platform als een service (PAAS) en software als een service (SaaS) .
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 Machine learning in GCP to be based on.
BigQuery voor gegevensanalyse
BigQuery ML
Wolken Automl
Cloud DataPrep
Wolken machine learning motor
Cloud spraak-to-text
Wolkenvertaling
Cloud Video Intelligence
Cloud natuurlijke taal
Wolkenvisie
Cloud DataFlow
Cloud Datalab
Grote tafel
Tensorflow voor machine learning
Pytorch voor machine learning
Scikit-Learn voor machine learning
Data exploratie
Feature Engineering Techniques
Gegevens voorbewerking
Begeleid leeralgoritmen
Zonder toezicht leeralgoritmen
Evaluatiemetrieken
Modelselectie en validatie
Ensemble -methoden
Neurale netwerken
Diep leren
Versterking leren
Regressie analyse
Classificatietechnieken
Clusteringstechnieken
Dimensionaliteitsvermindering
Tijdreeksanalyse
Onregelmatigheidsdetectie
Modelimplementatie
Google Cloud Storage
Google Cloud SQL
Google Cloud Bigtable
Google Cloud Pub/Sub
Google Cloud Datastore
Google Cloud -sleutel
Google Cloud Firestore
Google Cloud -functies
Google Cloud Compute Engine
Google Cloud App Engine
Google Cloud Kubernetes -motor
Google Cloud Identity and Access Management
Google Cloud Networking
Google Cloud Load Balancing
Google Cloud VPN
Google Cloud Security
Google Cloud iam -rollen
Google Cloud Logging
Google Cloud Monitoring
Google Cloud Trace
Google Cloud -foutrapportage
Google Cloud Debugger
Google Cloud Profiler
Google Cloud Implementment Manager
Google Cloud Resource Manager
Google Cloud -facturering
Google Cloud SDK
Google Cloud Shell

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What roles can I use the Machine Learning in GCP Online Test for?

Ingenieur van machine learning
Data scientist
Data -analist
Wolkeningenieur
AI -ingenieur
Big Data Engineer
Onderzoekwetenschapper
Business Intelligence Analyst
Software ontwikkelaar
Data Engineer

How is the Machine Learning in GCP Online Test customized for senior candidates?

For intermediate/ experienced candidates, we customize the assessment questions to include advanced topics and increase the difficulty level of the questions. This might include adding questions on topics like

Machine learning modellen construeren en interpreteren voor voorspellende analyses
Toepassing van functie -engineeringtechnieken om de modelprestaties te verbeteren
Het uitvoeren van verkennende gegevensanalyse en visualisaties met behulp van GCP -tools
Monitoring en optimalisatie van machine learning modelprestaties en nauwkeurigheid
Inzicht in de concepten van gedistribueerde computergebruik en parallelle verwerking
Het gebruik van GCP's Automl -services voor geautomatiseerde machine learning
Toepassing van natuurlijke taalverwerkingstechnieken voor tekstanalyse toepassen
Anomaly -detectie -algoritmen implementeren voor het identificeren van uitbijters
Gebruikmakend van cloud computing -principes en concepten in GCP -omgevingen
Modelevaluatie en validatie uitvoeren met behulp van relevante statistieken

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

85%

Vermindering van de screeningstijd

Bekijk volledige case study

Machine Learning in GCP 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.