Practice Test Questions for GCP Certification | ACE | Google

Ready to ace your GCP ACE Google Cloud Platform Associate Cloud Engineer certification exam? Test your knowledge and readiness with our premium practice question sets and detailed answer explanations. Each set is designed to ensure you master all the essential GCP concepts. The comprehensive solutions provided will equip you with the knowledge, skills, and confidence needed to excel in the actual exam. Our questions are regularly updated to reflect the latest syllabus changes and requirements.

Course Features:

• High-Quality Questions: Premium practice questions with detailed explanations.

• Up-to-Date Content: Course materials aligned with the latest syllabus.

• Confidence Building: Develop the knowledge, skills, and confidence necessary to pass the exam.

• Mock Exams: Practice mini-mock exams in a single session.

• Tricky Questions: Challenge yourself with difficult questions.

• Exam Strategy: Learn time management and how to handle exam pressure.

• Support: Active instructor support to address your doubts within 24-48 hours.

• Lifetime Access: Keep access to the course materials for future re-certification.

• Mobile-Friendly: Accessible on mobile devices via the Udemy app.

SAMPLE QUESTION + SOLUTION EXPLANATION:

You are analyzing Google Cloud Platform service costs from three separate projects. You want to use this information to create service cost estimates by service type, daily and monthly, for the next six months using standard query syntax. What should you do?   

A. Export your bill to a Cloud Storage bucket, and then import into Cloud Bigtable for analysis.

B. Export your bill to a Cloud Storage bucket, and then import into Google Sheets for analysis.

C. Export your transactions to a local file, and perform analysis with a desktop tool.

D. Export your bill to a BigQuery dataset, and then write time window-based SQL queries for analysis.

Explaination:

D. Export your bill to a BigQuery dataset, and then write time window-based SQL queries for analysis.

Here’s why:

• A. Export your bill to a Cloud Storage bucket, and then import into Cloud Bigtable for analysis.: Cloud Bigtable is more suited for large-scale, high-throughput workloads rather than cost analysis, which is better handled in BigQuery.

• B. Export your bill to a Cloud Storage bucket, and then import into Google Sheets for analysis.: While Google Sheets can handle small datasets, it’s not ideal for complex or large-scale analysis, particularly over long time periods.

• C. Export your transactions to a local file, and perform analysis with a desktop tool.: Analyzing data locally might not be scalable or practical for large datasets and continuous updates.

• D. Export your bill to a BigQuery dataset, and then write time window-based SQL queries for analysis.: BigQuery is designed for handling and analyzing large datasets efficiently. Exporting the billing data to BigQuery allows you to use SQL for detailed and flexible analysis, including time-based queries for cost estimation.

Using BigQuery provides a robust and scalable solution for analyzing service costs across multiple projects and generating detailed cost estimates.

See you inside the course and hope to see you too get GCP certified!

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