Search test library by skills or roles
⌘ K

Machine Learning in GCP Online Test

About the 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.

Covered skills:

  • Machine Learning in GCP
  • Data Analysis
  • Cloud Computing Basics
  • Google Cloud Platform (GCP) Fundamentals
  • Data Science

9 reasons why
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:

  • 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
Reason #2

No trick questions

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
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

These are just a small sample from our library of 10,000+ 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?
 image
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?
 image

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

Medium

Network Rules
Virtual Private Cloud
SSH

3 mins

Google Cloud Platform
Solve

Easy

Storage Costs
Cloud Storage

2 mins

Google Cloud Platform
Solve

Medium

Storage in Compute Recovery
Cloud Storage
Backups

3 mins

Google Cloud Platform
Solve
🧐 Question🔧 Skill💪 Difficulty⌛ Time
Healthy Replica
Google Kubernetes Engine
Google Cloud Platform
Medium2 mins
Solve
Network Rules
Virtual Private Cloud
SSH
Google Cloud Platform
Medium3 mins
Solve
Storage Costs
Cloud Storage
Google Cloud Platform
Easy2 mins
Solve
Storage in Compute Recovery
Cloud Storage
Backups
Google Cloud Platform
Medium3 mins
Solve
Reason #4

1200+ customers in 75 countries

customers in 75 countries
Brandon

With Adaface, we were able to optimise our initial screening process by upwards of 75%, freeing up precious time for both hiring managers and our talent acquisition team alike!


Brandon Lee, Head of People, Love, Bonito

Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Machine Learning in GCP Test in your hiring process is that it is an elimination tool, not a selection tool. In other words: you want to use the test to eliminate the candidates who do poorly on the test, not to select the candidates who come out at the top. While they are super valuable, pre-employment tests do not paint the entire picture of a candidate’s abilities, knowledge, and motivations. Multiple easy questions are more predictive of a candidate's ability than fewer hard questions. Harder questions are often "trick" based questions, which do not provide any meaningful signal about the candidate's skillset.

Science behind Adaface tests
Reason #6

1 click candidate invites

Email invites: You can send candidates an email invite to the Machine Learning in GCP Test 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.

invite candidates
Reason #7

Detailed scorecards & benchmarks

View sample scorecard
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.

test completion rate
Reason #9

Advanced Proctoring


Learn more

About the Machine Learning in GCP Assessment Test

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

The Machine Learning in GCP Test 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:

  • Implementing and deploying machine learning models in Google Cloud Platform
  • Creating and managing data pipelines using GCP services
  • Building and optimizing big data solutions using GCP tools
  • Developing and tuning complex machine learning algorithms
  • Performing data preprocessing and cleaning tasks
  • Applying statistical analysis and hypothesis testing techniques to evaluate data
  • Designing and implementing scalable and efficient data storage solutions
  • Utilizing GCP APIs and services for data integration and extraction
  • Configuring and managing virtual machines and containers on GCP
  • Implementing security measures and best practices for GCP environments

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?

  • 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).

  • Full list of covered topics

    The actual topics of the questions in the final test will depend on your job description and requirements. However, here's a list of topics you can expect the questions for Machine Learning in GCP Test to be based on.

    BigQuery for Data Analysis
    BigQuery ML
    Cloud AutoML
    Cloud Dataprep
    Cloud Machine Learning Engine
    Cloud Speech-to-Text
    Cloud Translation
    Cloud Video Intelligence
    Cloud Natural Language
    Cloud Vision
    Cloud Dataflow
    Cloud Datalab
    Bigtable
    TensorFlow for Machine Learning
    PyTorch for Machine Learning
    Scikit-learn for Machine Learning
    Data Exploration
    Feature Engineering Techniques
    Data Preprocessing
    Supervised Learning Algorithms
    Unsupervised Learning Algorithms
    Evaluation Metrics
    Model Selection and Validation
    Ensemble Methods
    Neural Networks
    Deep Learning
    Reinforcement Learning
    Regression Analysis
    Classification Techniques
    Clustering Techniques
    Dimensionality Reduction
    Time Series Analysis
    Anomaly Detection
    Model Deployment
    Google Cloud Storage
    Google Cloud SQL
    Google Cloud Bigtable
    Google Cloud Pub/Sub
    Google Cloud Datastore
    Google Cloud Spanner
    Google Cloud Firestore
    Google Cloud Functions
    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 Roles
    Google Cloud Logging
    Google Cloud Monitoring
    Google Cloud Trace
    Google Cloud Error Reporting
    Google Cloud Debugger
    Google Cloud Profiler
    Google Cloud Deployment Manager
    Google Cloud Resource Manager
    Google Cloud Billing
    Google Cloud SDK
    Google Cloud Shell

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

  • Machine Learning Engineer
  • Data Scientist
  • Data Analyst
  • Cloud Engineer
  • AI Engineer
  • Big Data Engineer
  • Research Scientist
  • Business Intelligence Analyst
  • Software Engineer
  • Data Engineer

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

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

  • Constructing and interpreting machine learning models for predictive analytics
  • Applying feature engineering techniques to improve model performance
  • Performing exploratory data analysis and visualizations using GCP tools
  • Monitoring and optimizing machine learning model performance and accuracy
  • Understanding the concepts of distributed computing and parallel processing
  • Using GCP's AutoML services for automated machine learning
  • Applying natural language processing techniques for text analysis
  • Implementing anomaly detection algorithms for identifying outliers
  • Utilizing cloud computing principles and concepts in GCP environments
  • Performing model evaluation and validation using relevant metrics
Singapore government logo

The hiring managers felt that through the technical questions that they asked during the panel interviews, they were able to tell which candidates had better scores, and differentiated with those who did not score as well. They are highly satisfied with the quality of candidates shortlisted with the Adaface screening.


85%
reduction in screening time

Machine Learning in GCP Hiring Test FAQs

Can I combine multiple skills into one custom assessment?

Yes, absolutely. Custom assessments are set up based on your job description, and will include questions on all must-have skills you specify. Here's a quick guide on how you can request a custom test.

Do you have any anti-cheating or proctoring features in place?

We have the following anti-cheating features in place:

  • Non-googleable questions
  • IP proctoring
  • Screen proctoring
  • Web proctoring
  • Webcam proctoring
  • Plagiarism detection
  • Secure browser
  • Copy paste protection

Read more about the proctoring features.

How do I interpret test scores?

The primary thing to keep in mind is that an assessment is an elimination tool, not a selection tool. A skills assessment is optimized to help you eliminate candidates who are not technically qualified for the role, it is not optimized to help you find the best candidate for the role. So the ideal way to use an assessment is to decide a threshold score (typically 55%, we help you benchmark) and invite all candidates who score above the threshold for the next rounds of interview.

What experience level can I use this test for?

Each Adaface assessment is customized to your job description/ ideal candidate persona (our subject matter experts will pick the right questions for your assessment from our library of 10000+ questions). This assessment can be customized for any experience level.

Does every candidate get the same questions?

Yes, it makes it much easier for you to compare candidates. Options for MCQ questions and the order of questions are randomized. We have anti-cheating/ proctoring features in place. In our enterprise plan, we also have the option to create multiple versions of the same assessment with questions of similar difficulty levels.

I'm a candidate. Can I try a practice test?

No. Unfortunately, we do not support practice tests at the moment. However, you can use our sample questions for practice.

What is the cost of using this test?

You can check out our pricing plans.

Can I get a free trial?

Yes, you can sign up for free and preview this test.

I just moved to a paid plan. How can I request a custom assessment?

Here is a quick guide on how to request a custom assessment on Adaface.

customers across world
Join 1200+ companies in 75+ countries.
Try the most candidate friendly skills assessment tool today.
g2 badges
Ready to use the Adaface Machine Learning in GCP Test?
Ready to use the Adaface Machine Learning in GCP Test?
logo
40 min tests.
No trick questions.
Accurate shortlisting.
Terms Privacy Trust Guide
ada
Ada
● Online
Previous
Score: NA
Next
✖️