Why you should use Machine Learning in GCP Online Test?

The Maskinlæring i 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: Implementering og distribusjon av maskinlæringsmodeller i Google Cloud Platform Opprette og administrere datarørledninger ved hjelp av GCP -tjenester Bygge og optimalisere big data -løsninger ved hjelp av GCP -verktøy Utvikling og innstilling av komplekse maskinlæringsalgoritmer Utføre data forbehandling og rengjøringsoppgaver Bruke statistisk analyse og hypotesetestingsteknikker for å evaluere data Designe og implementere skalerbare og effektive datalagringsløsninger Bruke GCP APIer og tjenester for dataintegrasjon og ekstraksjon Konfigurere og administrere virtuelle maskiner og containere på GCP Implementering av sikkerhetstiltak og beste praksis for GCP -miljøer

Machine Learning in GCP Online Test

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

Maskinlæring i GCP Google Cloud Platform (GCP) Fundamentals Dataanalyse Datavitenskap Cloud Computing Basics

About the test:

Maskinlæringen i GCP -test evaluerer en kandidats forståelse av maskinlæringsbegreper og deres evne til å bruke Google Cloud Platform for maskinlæringsoppgaver. Testen dekker emner som GCP -tjenester for maskinlæring, dataanalyse, datavitenskap og cloud computing.

Covered skills:

Maskinlæring i GCP
Dataanalyse
Cloud Computing Basics

Google Cloud Platform (GCP) Fundamentals
Datavitenskap

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9 reasons why

Adaface Machine Learning in GCP Test is the most accurate way to shortlist Machine Learning Engineers

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:

Evne til å distribuere og administrere maskinlæringsmodeller på Google Cloud Platform (GCP)
Kompetanse i Google Cloud Platform (GCP) Fundamentals
Evne til å analysere store datasett for innsikt og trender
Forståelse av forskjellige datavitenskapsteknikker og algoritmer
Kunnskap om grunnleggende cloud computing
Kjennskap til GCP -verktøy og tjenester for maskinlæring
Ekspertise i utforming og implementering av maskinlæringsrørledninger
Evne til å evaluere og visualisere data ved hjelp av GCP -verktøy
Dyktig i å bygge og evaluere prediktive modeller
Erfaring med distribusjon av maskinlæringsmodeller i produksjon
Dyktig i dataforbehandling og funksjonsteknikk
Forståelse av overvåket og uten tilsyn læringsalgoritmer

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.

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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 bare en liten prøve fra biblioteket vårt med 10.000+ spørsmål. De faktiske spørsmålene om dette Maskinlæring i GCP vil være ikke-googlable.

🧐 Question
Medium Healthy Replica Google Kubernetes Engine	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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

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

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Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Maskinlæring i 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 Maskinlæring i 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

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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 Maskinlæring i 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:

Implementering og distribusjon av maskinlæringsmodeller i Google Cloud Platform
Opprette og administrere datarørledninger ved hjelp av GCP -tjenester
Bygge og optimalisere big data -løsninger ved hjelp av GCP -verktøy
Utvikling og innstilling av komplekse maskinlæringsalgoritmer
Utføre data forbehandling og rengjøringsoppgaver
Bruke statistisk analyse og hypotesetestingsteknikker for å evaluere data
Designe og implementere skalerbare og effektive datalagringsløsninger
Bruke GCP APIer og tjenester for dataintegrasjon og ekstraksjon
Konfigurere og administrere virtuelle maskiner og containere på GCP
Implementering av sikkerhetstiltak og beste praksis for GCP -miljøer

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?

Maskinlæring i GCP
Denne ferdigheten refererer til kunnskapen og ekspertisen i bruk av Google Cloud Platform (GCP) for implementering og distribusjon av maskinlæringsmodeller. Det innebærer å forstå og bruke GCPs maskinlæringsverktøy og tjenester, for eksempel AI -plattform, Automl og Kubeflow, for å utvikle og trene modeller, utføre dataforbehandling og distribuere dem på en skalerbar og pålitelig måte.
Google Cloud Platform (GCP) Fundamentals
Denne ferdigheten omfatter grunnleggende kunnskap om Google Cloud Platform, inkludert dens forskjellige produkter og tjenester, for eksempel Compute Engine, Storage, BigQuery og Pub/Sub. Det innebærer å forstå konseptene og egenskapene til GCP, i tillegg til å vite hvordan man effektivt kan bruke GCPs ressurser for å bygge, distribuere og administrere applikasjoner og data på skyen.
Dataanalyse
Dataanalyse innebærer prosessen med å inspisere, rengjøre, transformere og modellere data for å oppdage nyttig informasjon og støtte beslutningstaking. I sammenheng med denne testen refererer den spesifikt til muligheten til å utføre dataanalyseoppgaver ved å bruke GCPs verktøy og tjenester, for eksempel BigQuery, Dataflow og Dataproc, for å trekke ut innsikt, identifisere mønstre og utleder meningsfulle konklusjoner fra store datasett. </ P> <H4> Datavitenskap </h4> <p> Datavitenskap er et flerfaglig felt som kombinerer statistisk analyse, maskinlæring og domenekunnskap for å trekke ut verdifull innsikt og løse komplekse problemer. I denne testen innebærer det å vurdere kunnskapen og ferdighetene relatert til anvendelse av datavitenskapsteknikker og algoritmer ved bruk av GCPs maskinlæring verktøy og tjenester, samt tolke og kommunisere resultatene fra dataanalyse og modelleringsoppgaver effektivt.
Cloud Computing Basics
Denne ferdigheten refererer til forståelsen av de grunnleggende begrepene og prinsippene for cloud computing, inkludert virtualisering, elastisitet, skalerbarhet og ressursbestemmelse på etterspørsel. Det innebærer å kjenne fordelene og ulempene ved cloud computing, samt de viktigste komponentene og tjenestemodellene for skyinfrastruktur, for eksempel infrastruktur som en tjeneste (IAAS), plattform som en tjeneste (PAAS) og programvare som en tjeneste (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 Maskinlæring i GCP to be based on.
BigQuery for dataanalyse
BigQuery Ml
Cloud Automl
Cloud Dataprep
Cloud Machine Learning Engine
Sky-tale-til-tekst
Skyoversettelse
Cloud Video Intelligence
Sky naturlig språk
Cloud Vision
Cloud Dataflow
Cloud Datalab
BigTable
Tensorflow for maskinlæring
Pytorch for maskinlæring
Scikit-Learn for maskinlæring
Datautforskning
Funksjonsingeniørteknikker
Dataforbehandling
Overvåket læringsalgoritmer
Uovervåket læringsalgoritmer
Evalueringsmålinger
Modellvalg og validering
Ensemblemetoder
Nevrale nettverk
Dyp læring
Forsterkningslæring
Regresjonsanalyse
Klassifiseringsteknikker
Clustering Techniques
Dimensjonalitetsreduksjon
Tidsserieanalyse
Anomalideteksjon
Modelldistribusjon
Google Cloud Storage
Google Cloud SQL
Google Cloud Bigtable
Google Cloud Pub/Sub
Google Cloud Datastore
Google Cloud nøkkel
Google Cloud Firestore
Google Cloud -funksjoner
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 -roller
Google Cloud -logging
Google Cloud Monitoring
Google Cloud Trace
Google Cloud Feilrapportering
Google Cloud Debugger
Google Cloud Profiler
Google Cloud Deployment Manager
Google Cloud Resource Manager
Google Cloud -fakturering
Google Cloud SDK
Google Cloud Shell

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

Machine Learning Engineer
Dataforsker
Data analytiker
Skyingeniør
AI ingeniør
Big Data Engineer
Forsker
Business Intelligence Analyst
Programvare ingeniør
Dataingeniør

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

Konstruere og tolke maskinlæringsmodeller for prediktiv analyse
Bruke funksjonsteknikker for å forbedre modellytelsen
Utføre undersøkende dataanalyse og visualiseringer ved hjelp av GCP -verktøy
Overvåking og optimalisering av maskinlæringsmodellytelse og nøyaktighet
Forstå begrepene distribuert databehandling og parallell behandling
Bruke GCPs Automl -tjenester for automatisert maskinlæring
Bruke naturlige språkbehandlingsteknikker for tekstanalyse
Implementering av anomalideteksjonsalgoritmer for å identifisere outliers
Bruke skyberegningsprinsipper og begreper i GCP -miljøer
Utføre modellevaluering og validering ved bruk av relevante beregninger

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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

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Machine Learning in GCP 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.