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Data Analytics in GCP Online Test

The Data Analytics in GCP test evaluates a candidate's knowledge and understanding of data analytics concepts and tools within the Google Cloud Platform. The test includes multiple-choice questions to evaluate understanding of data analysis techniques, data visualization and data processing in GCP.

Covered skills:

  • Data Analytics Fundamentals
  • Google Cloud Platform Basics
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About the Data Analytics in GCP Test


The Data Analytics 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 perform data analysis using Google Cloud Platform
  • Understanding of data analytics tools and techniques
  • Ability to develop and deploy data pipelines
  • Proficiency in SQL querying for data analysis
  • Experience in data visualization and reporting
  • Knowledge of statistical analysis and modeling
  • Understanding of cloud storage and data warehousing
  • Ability to optimize data analytics workflows
  • Knowledge of machine learning algorithms for data analysis
  • Familiarity with data governance and privacy regulations
  • Ability to troubleshoot and debug data analytics processes
  • Understanding of data integration and transformation
  • Experience in working with big data technologies and frameworks
  • Knowledge of data quality management
  • Ability to collaborate with cross-functional teams on data projects

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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 15,000+ questions. The actual questions on this Data Analytics in GCP Test will be non-googleable.

🧐 Question

Medium

Healthy Replica
Google Kubernetes Engine
Kubernetes Deployment
Rolling Update
Replica Management
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
Firewall Configuration
Network Security
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
Data Management
Storage Optimization
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
Data Recovery
Backup And Restore
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
Kubernetes Deployment
Rolling Update
Replica Management

2 mins

Google Cloud Platform
Solve

Medium

Network Rules
Virtual Private Cloud
SSH
Firewall Configuration
Network Security

3 mins

Google Cloud Platform
Solve

Easy

Storage Costs
Cloud Storage
Data Management
Storage Optimization

2 mins

Google Cloud Platform
Solve

Medium

Storage in Compute Recovery
Cloud Storage
Backups
Data Recovery
Backup And Restore

3 mins

Google Cloud Platform
Solve
🧐 Question🔧 Skill💪 Difficulty⌛ Time
Healthy Replica
Google Kubernetes Engine
Kubernetes Deployment
Rolling Update
Replica Management
Google Cloud Platform
Medium2 mins
Solve
Network Rules
Virtual Private Cloud
SSH
Firewall Configuration
Network Security
Google Cloud Platform
Medium3 mins
Solve
Storage Costs
Cloud Storage
Data Management
Storage Optimization
Google Cloud Platform
Easy2 mins
Solve
Storage in Compute Recovery
Cloud Storage
Backups
Data Recovery
Backup And Restore
Google Cloud Platform
Medium3 mins
Solve
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Why you should use Pre-employment Data Analytics in GCP Online Test?

The Data Analytics 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:

  • Executing data analytics tasks efficiently
  • Using Google Cloud Platform tools for data analysis
  • Applying statistical methods to analyze data
  • Implementing data visualizations and dashboards
  • Creating data models for analysis
  • Optimizing data storage and retrieval
  • Integrating data from multiple sources
  • Utilizing SQL for data querying and manipulation
  • Performing data transformations and aggregations
  • Applying machine learning algorithms for data analysis

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 Data Analytics in GCP Online Test?

Data Analytics Fundamentals: Data Analytics Fundamentals refers to the foundational concepts and techniques used in analyzing and interpreting data for decision-making. This skill is measured in the test to ensure that candidates possess a solid understanding of data analytics principles, such as data cleaning, data visualization, data manipulation, and statistical analysis, which are essential for effectively extracting insights from large datasets.

Google Cloud Platform Basics: Google Cloud Platform (GCP) Basics covers the fundamental knowledge of the various tools and services offered by Google Cloud. Candidates are expected to have an understanding of the core GCP services like Compute Engine, Storage, and Networking, as well as be familiar with concepts such as virtual machines, cloud storage, load balancing, and autoscaling. This skill is measured in the test to assess a candidate's proficiency in utilizing GCP for data analytics tasks, which is increasingly important in modern data-driven organizations.

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 Data Analytics in GCP Test to be based on.

Data ingestion
Cloud Pub/Sub
Data processing
Cloud Dataflow
Data storage
Cloud Storage
BigQuery
Data transformation
Cloud Dataprep
Cloud Dataproc
Data visualization
Google Data Studio
Data analysis
SQL querying
Statistical analysis
Modeling
Machine learning
TensorFlow
Apache Beam
Data pipelines
Apache Airflow
Data governance
Data privacy
Data wrangling
Data integration
Data optimization
Performance tuning
Data quality
Data validation
Spark
Cloud Composer
BigTable
BigQuery ML
Data collaboration
Teamwork
Problem-solving
Project management
Cloud IAM
Cloud Security
Error handling
Debugging
Data streaming
Apache Kafka
Data warehousing
Analytics reports
Predictive analytics
Cloud automl
Data governance policies
Cloud DLP
Data ethics
Data storytelling
Data exploration
Data manipulation
ETL
Cloud Function
Sampling techniques
Data profiling
Cloud Data Catalog
Data versioning

What roles can I use the Data Analytics in GCP Online Test for?

  • Data Analyst
  • Data Engineer
  • Data Scientist
  • Cloud Architect
  • Business Analyst

How is the Data Analytics 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

  • Extracting valuable insights from data
  • Applying dimensional modeling techniques
  • Implementing ETL processes for data integration
  • Designing and managing data pipelines
  • Working with BigQuery for data analysis
  • Configuring Cloud Dataflow for data processing
  • Building data pipelines using Apache Beam
  • Optimizing data processing workflows
  • Implementing data security and access controls
  • Monitoring and troubleshooting data analytics processes

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Non-googleable Questions

Web Proctoring

IP Proctoring

Webcam Proctoring

MCQ Questions

Coding Questions

Typing Questions

Personality Questions

Custom Questions

Ready-to-use Tests

Custom Tests

Custom Branding

Bulk Invites

Public Links

ATS Integrations

Multiple Question Sets

Custom API integrations

Role-based Access

Priority Support

GDPR Compliance

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Have questions about the Data Analytics in GCP Hiring Test?

What is Data Analytics in GCP Test?

The Data Analytics in GCP Test evaluates a candidate's proficiency in data analytics using Google Cloud Platform. Recruiters use this test to assess skills required for managing data, designing pipelines, and leveraging GCP tools for data processing and analysis.

Can I combine Data Analytics in GCP Test with Google Analytics questions?

Yes, recruiters can request a single custom test combining multiple skills. For Google Analytics, check our Google Analytics Test to get more details on how we assess this skill.

What skills are assessed in the Data Analytics in GCP Test?

This test focuses on extracting valuable insights from data, applying dimensional modeling techniques, implementing ETL processes, designing data pipelines, working with BigQuery, configuring Cloud Dataflow, building pipelines using Apache Beam, optimizing workflows, and implementing data security.

How to use Data Analytics in GCP Test in my hiring process?

Use it as a pre-screening tool at the start of your recruitment. Add a link to the assessment in your job post or invite candidates via email. Adaface helps you find the skilled candidates faster.

What are the main Data Analytics tests?
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.

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Along with scorecards that report the performance of the candidate in detail, you also receive a comparative analysis against the company average and industry standards.

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