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

Here are few roles for which we recommend this test: Machine Learning Engineer Data Scientist Data Analyst Cloud Engineer AI Engineer Big Data Engineer Research Scientist Business Intelligence Analyst Software Engineer Data Engineer

What is the Machine Learning in GCP Test?

The Machine Learning in GCP Test evaluates candidates' skills in using Google Cloud Platform (GCP) for machine learning projects. It is used by recruiters to assess candidates' proficiency in GCP, data science, and cloud computing basics.

Can I combine the Machine Learning in GCP Test with Data Analysis questions?

Yes, recruiters can request a single custom test that includes both Machine Learning in GCP and Data Analysis questions. For more details on the Data Analysis Test, check Data Analysis Test .

What skills are evaluated in the Machine Learning in GCP Test?

This test assesses various skills including machine learning models, feature engineering, exploratory data analysis, monitoring model performance, distributed computing, GCP's AutoML, natural language processing, anomaly detection, and cloud computing principles.

How to use the Machine Learning in GCP Test in my hiring process?

Use it as a pre-screening tool at the beginning of the recruitment process. Add a link to the assessment in your job post, or invite candidates directly by email. This helps identify skilled candidates early and quickly.

What are the main Cloud Computing tests?

Here are some key tests in the cloud computing category: Google Cloud Platform GCP Test AWS DevOps Test Azure DevOps Test Cloud Computing Test

Machine Learning in GCP Online Test

The Machine Learning in GCP test evaluates a candidate's understanding of machine learning concepts and their ability to use Google Cloud Platform for machine learning tasks. The test covers topics such as GCP services for machine learning, data analysis, data science, and cloud computing.

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Screen candidates with a 30 mins test

Test duration: ~ 30 mins

Difficulty level: Moderate

Availability: Available as custom test

Questions:

15 Google Cloud Platform MCQs

Covered skills:

Machine Learning in GCP

Google Cloud Platform (GCP) Fundamentals

Data Analysis

Data Science

Cloud Computing Basics

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Use the Machine Learning in GCP Test to shortlist qualified candidates

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:

Ability to deploy and manage machine learning models on Google Cloud Platform (GCP)
Proficiency in Google Cloud Platform (GCP) Fundamentals
Capability to analyze large datasets for insights and trends
Understanding of various data science techniques and algorithms
Knowledge of cloud computing basics
Familiarity with GCP tools and services for machine learning
Expertise in designing and implementing machine learning pipelines
Ability to evaluate and visualize data using GCP tools
Skilled in building and evaluating predictive models
Experience with deploying machine learning models in production
Proficient in data preprocessing and feature engineering
Understanding of supervised and unsupervised learning algorithms

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Screen candidates with the highest quality 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

These are just a small sample from our library of 15,000+ questions. The actual questions on this Machine Learning in GCP Test will be non-googleable.

🧐 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.

Test candidates on core Machine Learning in GCP Hiring Test topics

Machine Learning in GCP: This skill refers to the knowledge and expertise in using Google Cloud Platform (GCP) for implementing and deploying machine learning models. It involves understanding and utilizing GCP's machine learning tools and services, such as AI Platform, AutoML, and Kubeflow, to develop and train models, perform data preprocessing, and deploy them in a scalable and reliable manner.

Google Cloud Platform (GCP) Fundamentals: This skill encompasses the foundational knowledge of Google Cloud Platform, including its various products and services, such as Compute Engine, Storage, BigQuery, and Pub/Sub. It involves understanding the concepts and capabilities of GCP, as well as knowing how to effectively utilize GCP's resources for building, deploying, and managing applications and data on the cloud.

Data Analysis: Data analysis involves the process of inspecting, cleaning, transforming, and modeling data to discover useful information and support decision-making. In the context of this test, it specifically refers to the ability to perform data analysis tasks using GCP's tools and services, such as BigQuery, Dataflow, and Dataproc, to extract insights, identify patterns, and derive meaningful conclusions from large datasets.

Data Science: Data science is a multidisciplinary field that combines statistical analysis, machine learning, and domain knowledge to extract valuable insights and solve complex problems. In this test, it involves assessing the knowledge and skills related to applying data science techniques and algorithms using GCP's machine learning tools and services, as well as interpreting and communicating the results of data analysis and modeling tasks effectively.

Cloud Computing Basics: This skill refers to the understanding of the fundamental concepts and principles of cloud computing, including virtualization, elasticity, scalability, and on-demand resource provisioning. It involves knowing the advantages and disadvantages of cloud computing, as well as the key components and service models of cloud infrastructure, such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).

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