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Data Analytics in Google Cloud Platform (GCP) Test
Google Cloud Platform empowers organizations to analyze massive datasets with speed, scale, and integrated AI/ML capabilities. The Data Analysis in GCP Test evaluates your ability to collect, prepare, analyze, and visualize data using native GCP services — turning raw data into valuable insights.
Duration (Customizable)
14 min
Skills Covered
4
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About the Data Analytics in Google Cloud Platform (GCP) Test
You’ll be evaluated across four core skills:
Data Ingestion & Storage
Demonstrate knowledge of importing data into GCP using Cloud Storage, Pub/Sub, and Data Transfer tools while ensuring reliability and cost efficiency.Data Processing & Transformation (ETL/ELT)
Apply Cloud Dataflow (Apache Beam), Dataprep, and BigQuery SQL transformations to clean and structure data for analytics and reporting.Data Warehousing with BigQuery
Use BigQuery as a serverless analytical data warehouse — optimizing queries, partitions/clusters, BI Engine, and access control for scale and performance.Visualization & Advanced Analytics
Build interactive dashboards using Looker Studio (formerly Data Studio) and connect analytics outputs to ML capabilities like BigQuery ML for predictive modeling.
This is where cloud scale meets analytical precision — proving you can deliver insights efficiently across Google Cloud’s data platform.
Covered Skills
Data Ingestion & Storage
Data Processing & Transformation (ETL/ELT)
Data Warehousing with BigQuery
Visualization & Advanced Analytics
Test Details
Type
Role specific skills
Languages
English
Duration
14 minutes
Difficulty
Intermediate
Recommended Job Roles to Use the Data Analytics in Google Cloud Platform (GCP)
Ideal for data analysts, BI professionals, analytics engineers, and data engineers using GCP for decision support. Also useful for candidates preparing for Google Cloud Professional Data Engineer or Business Intelligence certifications.
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Advanced Proctoring Features
Comprehensive AI-powered monitoring and security features to maintain test integrity
AI-based Face Detection
Advanced AI detects and verifies candidate's face throughout the test, flagging multiple faces or absence to prevent impersonation.
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