Why you should use Machine Learning in GCP Online Test?

The Aprendizado de máquina no 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: Implementando e implantando modelos de aprendizado de máquina na plataforma do Google Cloud Criando e gerenciando pipelines de dados usando serviços GCP Construindo e otimizando soluções de big data usando ferramentas GCP Desenvolvendo e ajustando algoritmos complexos de aprendizado de máquina Executando tarefas de pré -processamento e limpeza de dados Aplicando análises estatísticas e técnicas de teste de hipóteses para avaliar dados Projetando e implementando soluções de armazenamento de dados escaláveis e eficientes Utilizando APIs e serviços GCP para integração e extração de dados Configurando e gerenciando máquinas e contêineres virtuais no GCP Implementando medidas de segurança e práticas recomendadas para ambientes GCP

Machine Learning in GCP Online Test

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

Aprendizado de máquina no GCP Fundamentos do Google Cloud Platform (GCP) Análise de dados Ciência dos dados Noções básicas de computação em nuvem

About the test:

O aprendizado de máquina no teste GCP avalia a compreensão de um candidato sobre os conceitos de aprendizado de máquina e sua capacidade de usar a plataforma do Google Cloud para tarefas de aprendizado de máquina. O teste abrange tópicos como serviços GCP para aprendizado de máquina, análise de dados, ciência de dados e computação em nuvem.

Covered skills:

Aprendizado de máquina no GCP
Análise de dados
Noções básicas de computação em nuvem

Fundamentos do Google Cloud Platform (GCP)
Ciência dos dados

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9 reasons why

Adaface Machine Learning in GCP Test is the most accurate way to shortlist Engenheiro de aprendizado de máquinas

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:

Capacidade de implantar e gerenciar modelos de aprendizado de máquina na plataforma do Google Cloud (GCP)
Proficiência nos fundamentos da plataforma do Google Cloud (GCP)
Capacidade de analisar grandes conjuntos de dados para insights e tendências
Entendimento de várias técnicas e algoritmos de ciência de dados
Conhecimento do básico da computação em nuvem
Familiaridade com ferramentas e serviços GCP para aprendizado de máquina
Experiência em projetar e implementar pipelines de aprendizado de máquina
Capacidade de avaliar e visualizar dados usando ferramentas GCP
Qualificado na construção e avaliação de modelos preditivos
Experiência com a implantação de modelos de aprendizado de máquina na produção
Proficiente em pré -processamento de dados e engenharia de recursos
Compreensão dos algoritmos de aprendizado supervisionados e não supervisionados

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

Estes são apenas uma pequena amostra da nossa biblioteca de mais de 10.000 perguntas. As perguntas reais sobre isso Aprendizado de máquina no GCP será não-googleable.

🧐 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

Com o Adaface, conseguimos otimizar nosso processo de seleção inicial em mais de 75%, liberando um tempo precioso tanto para os gerentes de contratação quanto para nossa equipe de aquisição de talentos!

Brandon Lee, Chefe de Pessoas, Love, Bonito

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Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Aprendizado de máquina no 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 Aprendizado de máquina no 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 Aprendizado de máquina no 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:

Implementando e implantando modelos de aprendizado de máquina na plataforma do Google Cloud
Criando e gerenciando pipelines de dados usando serviços GCP
Construindo e otimizando soluções de big data usando ferramentas GCP
Desenvolvendo e ajustando algoritmos complexos de aprendizado de máquina
Executando tarefas de pré -processamento e limpeza de dados
Aplicando análises estatísticas e técnicas de teste de hipóteses para avaliar dados
Projetando e implementando soluções de armazenamento de dados escaláveis e eficientes
Utilizando APIs e serviços GCP para integração e extração de dados
Configurando e gerenciando máquinas e contêineres virtuais no GCP
Implementando medidas de segurança e práticas recomendadas para ambientes GCP

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 Fundamentos da plataforma em nuvem (GCP)
Essa habilidade abrange o conhecimento fundamental da plataforma do Google Cloud, incluindo seus vários produtos e serviços, como mecanismo de computação, armazenamento, bigQuery e pub/sub. Envolve a compreensão dos conceitos e recursos do GCP, além de saber como utilizar efetivamente os recursos do GCP para construir, implantar e gerenciar aplicativos e dados na nuvem.
Análise de dados
A análise de dados envolve o processo de inspeção, limpeza, transformação e modelagem de dados para descobrir informações úteis e apoiar a tomada de decisões. No contexto deste teste, refere -se especificamente à capacidade de executar tarefas de análise de dados usando as ferramentas e serviços do GCP, como BigQuery, Dataflow e DataPROC, para extrair insights, identificar padrões e derivar conclusões significativas de grandes conjuntos de dados. </ P> <H4> Ciência de dados </h4> <p> A ciência de dados é um campo multidisciplinar que combina análise estatística, aprendizado de máquina e conhecimento de domínio para extrair insights valiosos e resolver problemas complexos. Neste teste, envolve a avaliação dos conhecimentos e habilidades relacionadas à aplicação de técnicas e algoritmos de ciência de dados usando ferramentas e serviços de aprendizado de máquina do GCP, além de interpretar e comunicar os resultados das tarefas de análise e modelagem de dados de maneira eficaz.
Noções básicas de computação em nuvem
Essa habilidade refere-se à compreensão dos conceitos e princípios fundamentais da computação em nuvem, incluindo virtualização, elasticidade, escalabilidade e provisionamento de recursos sob demanda. Envolve conhecer as vantagens e desvantagens da computação em nuvem, bem como os principais componentes e modelos de serviço da infraestrutura em nuvem, como infraestrutura como serviço (IAAS), plataforma como serviço (PAAS) e software como serviço (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 Aprendizado de máquina no GCP to be based on.
BigQuery para análise de dados
BigQuery Ml
Cloud Automl
Cloud Dataprep
Mecanismo de aprendizado de máquina em nuvem
Cloud Spean-to-text
Tradução da nuvem
Inteligência em vídeo em nuvem
Linguagem natural em nuvem
Visão da nuvem
Cloud Dataflow
Datalab em nuvem
Mesa grande
Tensorflow para aprendizado de máquina
Pytorch para aprendizado de máquina
Scikit-Learn for Machine Learning
Exploração de dados
Técnicas de engenharia de recursos
Pré -processamento de dados
Algoritmos de aprendizado supervisionado
Algoritmos de aprendizado não supervisionado
Métricas de avaliação
Seleção e validação de modelos
Métodos de conjunto
Redes neurais
Aprendizado profundo
Aprendizagem de reforço
Análise de regressão
Técnicas de classificação
Técnicas de agrupamento
Redução de dimensionalidade
Análise de séries temporais
Detecção de anomalia
Modelo de implantação
Google Cloud Storage
Google Cloud SQL
Google Cloud BigTable
Google Cloud Pub/sub
DataStore do Google Cloud
Google Cloud Spanner
Google Cloud Firestore
Funções do Google Cloud
Google Cloud Compute Engine
Mecanismo de aplicativo do Google Cloud
Motor do Google Cloud Kubernetes
Google Cloud Identity and Access Management
Rede de nuvem do Google
Balanceamento de carga do Google Cloud
Google Cloud VPN
Segurança do Google Cloud
Papéis do Google Cloud IAM
Registro do Google Cloud
Monitoramento do Google Cloud
Google Cloud Trace
Relatórios de erro no Google Cloud
Depurador do Google Cloud
Google Cloud Profiler
Google Cloud Deployment Manager
Google Cloud Resource Manager
Faturamento do Google Cloud
Google Cloud SDK
Shell do Google Cloud

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

Engenheiro de aprendizado de máquina
Cientista de dados
Analista de informações
Engenheiro de nuvem
Engenheiro de IA
Engenheiro de big data
Pesquisa científica
Analista de inteligência de negócios
Engenheiro de software
Engenheiro de dados

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

Construindo e interpretando modelos de aprendizado de máquina para análise preditiva
Aplicando técnicas de engenharia de recursos para melhorar o desempenho do modelo
Executando análise e visualizações exploratórias de dados usando ferramentas GCP
Monitorando e otimizando o desempenho e a precisão do modelo de aprendizado de máquina
Compreendendo os conceitos de computação distribuída e processamento paralelo
Usando os serviços automatizados do GCP para aprendizado de máquina automatizado
Aplicando técnicas de processamento de linguagem natural para análise de texto
Implementando algoritmos de detecção de anomalia para identificar valores extremos
Utilizando princípios e conceitos de computação em nuvem em ambientes GCP
Executando avaliação e validação de modelo usando métricas relevantes

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Os gerentes de contratação sentiram que, por meio das perguntas técnicas feitas durante as entrevistas do painel, foram capazes de dizer quais candidatos tiveram melhores pontuações e diferenciaram aqueles que não tiveram pontuações tão boas. Eles são altamente satisfeito com a qualidade dos candidatos selecionados na triagem Adaface.

85%

Redução no tempo de triagem

Veja o estudo de caso completo

Machine Learning in GCP Hiring Test Perguntas frequentes

Posso combinar várias habilidades em uma avaliação personalizada?

Sim absolutamente. As avaliações personalizadas são configuradas com base na descrição do seu trabalho e incluirão perguntas sobre todas as habilidades obrigatórias que você especificar.

Você tem algum recurso anti-trapaça ou procurador?

Temos os seguintes recursos anti-trapaça:

Perguntas não-goleadas
IP Proctoring
Web Proctoring
Proctoring da webcam
Detecção de plágio
navegador seguro

Leia mais sobre os Recursos de Proctoring.

Como interpreto as pontuações dos testes?

O principal a ter em mente é que uma avaliação é uma ferramenta de eliminação, não uma ferramenta de seleção. Uma avaliação de habilidades é otimizada para ajudá -lo a eliminar os candidatos que não são tecnicamente qualificados para o papel, não é otimizado para ajudá -lo a encontrar o melhor candidato para o papel. Portanto, a maneira ideal de usar uma avaliação é decidir uma pontuação limite (normalmente 55%, ajudamos você a comparar) e convidar todos os candidatos que pontuam acima do limiar para as próximas rodadas da entrevista.

Para que nível de experiência posso usar este teste?

Cada avaliação do Adaface é personalizada para a descrição do seu trabalho/ persona do candidato ideal (nossos especialistas no assunto escolherão as perguntas certas para sua avaliação de nossa biblioteca de mais de 10000 perguntas). Esta avaliação pode ser personalizada para qualquer nível de experiência.

Todo candidato recebe as mesmas perguntas?

Sim, facilita muito a comparação de candidatos. As opções para perguntas do MCQ e a ordem das perguntas são randomizadas. Recursos anti-traking/proctoring no local. Em nosso plano corporativo, também temos a opção de criar várias versões da mesma avaliação com questões de níveis de dificuldade semelhantes.