Google Data Practitioner Practice Exam
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Official Name: Google Data Practitioner
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Start NowAbout the Google Data Practitioner Certification
The Google Data Practitioner certification is designed for professionals who work with data to extract insights, support decision-making, and apply foundational analytics techniques across a variety of business scenarios. As technology evolves and industry demands grow more complex; this credential validates your ability to apply real-world skills and knowledge using Google tools and frameworks. Earning the certification positions you as a trusted expert, capable of solving high-impact challenges and contributing to secure, scalable, and efficient systems.
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Test Your Knowledge of Google Data Practitioner
Question #1
A marketing team needs to quickly analyze campaign performance.
What is the best approach?
A) Use dashboards with real-time data visualizations.
B) Only review data at quarter-end.
C) Disable dashboard access.
D) Ignore data refresh.
Solution
Correct answers: A – Explanation:
Dashboards/real-time visuals enable quick insights. Quarter-only/disabling/ignoring delays results.
Question #2
The company wants to maintain data quality.
What is the recommended solution?
A) Implement validation checks and regular data cleansing.
B) Only check data after errors.
C) Disable validation.
D) Ignore data issues.
Solution
Correct answers: A – Explanation:
Validation/cleansing maintain quality. Error-only/disabling/ignoring lets issues grow.
Question #3
The team needs to collaborate on shared datasets.
What is the best practice?
A) Use shared data workspaces with role-based access controls.
B) Allow open access to all files.
C) Disable collaboration tools.
D) Ignore user permissions.
Solution
Correct answers: A – Explanation:
Workspaces/RBAC enable secure collaboration. Open/disabling/ignoring is unsafe.
Question #4
The business must protect sensitive customer data.
What is the best way?
A) Apply encryption and restrict access to sensitive fields.
B) Store data unencrypted.
C) Disable access controls.
D) Ignore privacy.
Solution
Correct answers: A – Explanation:
Encryption/restriction protect data. Unencrypted/disabling/ignoring is risky.
Question #5
The company wants to automate report generation.
What should be implemented?
A) Use scheduled reporting tools and templates.
B) Only generate reports manually.
C) Disable scheduling.
D) Ignore reporting needs.
Solution
Correct answers: A – Explanation:
Scheduling/templates automate reporting. Manual/disabling/ignoring is inefficient.
Question #6
The team must prevent duplicate records.
What is the best solution?
A) Use unique identifiers and deduplication rules.
B) Only clean up after errors.
C) Disable deduplication.
D) Ignore duplicates.
Solution
Correct answers: A – Explanation:
IDs/deduplication prevent issues. Error-only/disabling/ignoring allows problems.
Question #7
The business needs to track data lineage.
What should be used?
A) Enable lineage tracking and metadata management.
B) Only document lineage after incidents.
C) Disable lineage tools.
D) Ignore data refresh.
Solution
Correct answers: A – Explanation:
Tracking/metadata ensure traceability. Incident-only/disabling/ignoring is incomplete.
Question #8
The team wants to upskill in data analysis.
What is a good strategy?
A) Provide ongoing training and access to learning resources.
B) Only train new hires.
C) Disable learning access.
D) Ignore skill gaps.
Solution
Correct answers: A – Explanation:
Dashboards/real-time visuals enable quick insights. Quarter-only/disabling/ignoring delays results.
Question #9
The company must comply with data regulations.
What is the first step?
A) Audit data practices and ensure consent for personal data use.
B) Only check after violations.
C) Disable audits.
D) Ignore regulations.
Solution
Correct answers: A – Explanation:
Auditing/consent ensure compliance. Violation-only/disabling/ignoring is inadequate.
Question #10
The team needs to monitor data platform health.
What is the best tool?
A) Use platform monitoring dashboards and set up alerts.
B) Only check after downtime.
C) Disable monitoring.
D) Ignore alerts.
Solution
Correct answers: A – Explanation:
Dashboards/alerts catch issues early. Downtime-only/disabling/ignoring is too late.
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