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 implementering af maskinlæringsmodeller i Google Cloud -platform Oprettelse og styring af datarørledninger ved hjælp af GCP -tjenester Bygning og optimering af Big Data -løsninger ved hjælp af GCP -værktøjer Udvikling og indstilling af komplekse maskinlæringsalgoritmer Udførelse af forarbejdnings- og rengøringsopgaver Anvendelse af statistisk analyse og hypotesetestteknikker til evaluering af data Design og implementering af skalerbare og effektive datalagringsløsninger Brug af GCP API'er og tjenester til dataintegration og ekstraktion Konfiguration og styring af virtuelle maskiner og containere på GCP Implementering af sikkerhedsforanstaltninger og bedste 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 Datavidenskab Grundlæggende om cloud computing

About the test:

Maskinindlæring i GCP -test evaluerer en kandidats forståelse af maskinlæringskoncepter og deres evne til at bruge Google Cloud -platform til maskinlæringsopgaver. Testen dækker emner som GCP -tjenester til maskinlæring, dataanalyse, datavidenskab og cloud computing.

Covered skills:

Maskinlæring i GCP
Dataanalyse
Grundlæggende om cloud computing

Google Cloud Platform (GCP) Fundamentals
Datavidenskab

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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 at implementere og administrere maskinlæringsmodeller på Google Cloud Platform (GCP)
Færdigheder i Google Cloud Platform (GCP) Fundamentals
Kapacitet til at analysere store datasæt til indsigt og tendenser
Forståelse af forskellige datavidenskabelige teknikker og algoritmer
Kendskab til grundlæggende for cloud computing
Fortrolighed med GCP -værktøjer og tjenester til maskinlæring
Ekspertise i design og implementering af maskinlæringsrørledninger
Evne til at evaluere og visualisere data ved hjælp af GCP -værktøjer
Dygtige til at opbygge og evaluere forudsigelige modeller
Erfaring med implementering af maskinlæringsmodeller i produktion
Dygtige til forarbejdning af data og funktionsteknik
Forståelse af overvågede og uovervågede 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.

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 Maskinlæring i GCP vil være ikke-gåbart.

🧐 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 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 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 implementering af maskinlæringsmodeller i Google Cloud -platform
Oprettelse og styring af datarørledninger ved hjælp af GCP -tjenester
Bygning og optimering af Big Data -løsninger ved hjælp af GCP -værktøjer
Udvikling og indstilling af komplekse maskinlæringsalgoritmer
Udførelse af forarbejdnings- og rengøringsopgaver
Anvendelse af statistisk analyse og hypotesetestteknikker til evaluering af data
Design og implementering af skalerbare og effektive datalagringsløsninger
Brug af GCP API'er og tjenester til dataintegration og ekstraktion
Konfiguration og styring af virtuelle maskiner og containere på GCP
Implementering af sikkerhedsforanstaltninger og bedste 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?

Google Cloud Platform (GCP) Fundamentals </H4> <p> Denne færdighed omfatter grundlæggende viden om Google Cloud -platform, herunder dens forskellige produkter og tjenester, såsom Compute Engine, Storage, BigQuery og Pub/Sub. Det involverer at forstå GCP's koncepter og kapaciteter samt vide, hvordan man effektivt bruger GCP's ressourcer til at opbygge, implementere og styre applikationer og data på skyen. </p> <h4> dataanalyse
Dataanalyse involverer processen med at inspicere, rengøre, transformere og modellere data for at opdage nyttige oplysninger og support beslutningstagning. I forbindelse med denne test henviser den specifikt til muligheden for at udføre dataanalyseopgaver ved hjælp af GCP's værktøjer og tjenester, såsom BigQuery, Dataflow og DataProc, for at udtrække indsigt, identificere mønstre og udlede meningsfulde konklusioner fra store datasæt. <//// P> <h4> Data Science </h4> <p> Data Science er et tværfagligt felt, der kombinerer statistisk analyse, maskinlæring og domæneviden for at udtrække værdifuld indsigt og løse komplekse problemer. I denne test involverer det vurdering af viden og færdigheder, der er relateret til anvendelse af datavidenskabsteknikker og algoritmer ved hjælp af GCPs maskinlæringsværktøjer og -tjenester, samt at fortolke og kommunikere resultaterne af dataanalyse og modelleringsopgaver effektivt.
Cloud Computing Basics
Denne dygtighed henviser til forståelsen af de grundlæggende koncepter og principper for cloud computing, herunder virtualisering, elasticitet, skalerbarhed og on-demand ressourceforsyning. Det involverer at kende fordele og ulemper ved cloud computing såvel som de vigtigste komponenter og servicemodeller for skyinfrastruktur, såsom infrastruktur som en service (IAAS), platform som en service (PAAS) og software som en 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 Maskinlæring i GCP to be based on.
BigQuery til dataanalyse
BigQuery ML
Cloud Automl
Cloud Dataprep
Cloud Machine Learning Engine
Cloud tale-til-tekst
Cloud -oversættelse
Cloud Video Intelligence
Sky naturligt sprog
Cloud Vision
Cloud Dataflow
Cloud Datalab
Bigtable
Tensorflow til maskinlæring
Pytorch til maskinlæring
Scikit-learn til maskinlæring
Dataudforskning
Funktionsteknikker
Dataforarbejdning
Overvågede læringsalgoritmer
Uovervågede læringsalgoritmer
Evalueringsmålinger
Modeludvælgelse og validering
Ensemble -metoder
Neurale netværk
Dyb læring
Forstærkningslæring
Regressions analyse
Klassificeringsteknikker
Klyngerteknikker
Dimensionalitetsreduktion
Tidsserieanalyse
Anomali -detektion
Modelinstallation
Google Cloud Storage
Google Cloud SQL
Google Cloud Bigtable
Google Cloud Pub/Sub
Google Cloud Datastore
Google Cloud Spanner
Google Cloud Firestore
Google Cloud fungerer
Google Cloud Compute Engine
Google Cloud App Engine
Google Cloud Kubernetes Engine
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 -fejlrapportering
Google Cloud Debugger
Google Cloud Profiler
Google Cloud Deployment Manager
Google Cloud Resource Manager
Google Cloud Billing
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
Dataanalytiker
Skyingeniør
AI Engineer
Big Data Engineer
Forsker
Business Intelligence Analyst
Software 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

Konstruktion og tolkning af maskinlæringsmodeller til forudsigelig analyse
Anvendelse af funktionsteknikker til forbedring af modelydelsen
Udførelse af efterforskningsdataanalyse og visualiseringer ved hjælp af GCP -værktøjer
Overvågning og optimering af maskinlæringsmodelens ydeevne og nøjagtighed
At forstå begreberne distribueret computing og parallel behandling
Brug af GCP's Automl -tjenester til automatiseret maskinlæring
Anvendelse af naturlige sprogbehandlingsteknikker til tekstanalyse
Implementering af anomali -detektionsalgoritmer til identificering af outliers
Brug af cloud computing -principper og koncepter i GCP -miljøer
Udførelse af modelevaluering og validering ved hjælp af relevante målinger

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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

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Machine Learning in GCP 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.