Question 1

Data in the form of video, pictures, and audio recordings is well suited to object storage. Which product is best?

✔️ Cloud Storage
❌ Cloud SQL
❌ BigQuery
❌ Firestore

Explanation:
Cloud Storage is Google’s object storage service ideal for media files like video, images, and audio.

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Question 2

Sales report needed every 90 days. Which storage class?

✔️ Nearline
❌ Coldline
❌ Standard
❌ Archive

Explanation:
Nearline is optimized for data accessed once per month or once every 30–90 days.

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Question 3

Which characteristic is true for all Cloud Storage classes?

✔️ Geo-redundancy if stored in multi-region or dual-region
❌ Single-region only
❌ Maximum storage limits
❌ High latency and low durability

Explanation:
All Cloud Storage classes support multi-region/dual-region for geo-redundancy and have 11 nines durability.

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Question 4

Best SQL-based option for transactional workload needing local/regional scalability?

✔️ Cloud SQL
❌ Spanner
❌ Bigtable
❌ Cloud Storage

Explanation:
Cloud SQL is ideal for relational OLTP workloads with regional scalability.

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Question 5

What two services does BigQuery provide?

✔️ Storage and analytics
❌ Networking and storage
❌ Migration and analytics
❌ Compute and analytics

Explanation:
BigQuery separates storage and compute, providing analytics and warehousing.

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Question 6

How does BigQuery multicloud help organizations?

✔️ Allows analysis across multiple cloud providers → removes data silos
❌ Reduces costs by reducing clouds
❌ More secure on-prem
❌ Only for disaster recovery

Explanation:
BigQuery Omni lets you query data across AWS, Azure, and Google Cloud without moving data.

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Question 7

Google’s big data database powering Search, Analytics, Gmail, etc.

✔️ Bigtable
❌ Cloud SQL
❌ Spanner
❌ Cloud Storage

Explanation:
Bigtable is Google’s foundational NoSQL wide-column database for massive scale.

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Question 8

Best SQL-based option for global transactional scalability?

✔️ Spanner
❌ Cloud SQL
❌ Bigtable
❌ Firestore

Explanation:
Spanner = globally distributed, strongly consistent SQL database.

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Question 9

Migrating on-prem databases to same type on the cloud describes:

✔️ Lift and shift
❌ Refactoring
❌ Managed database migration
❌ Remain on-premises

Explanation:
Lift-and-shift moves databases as-is into managed cloud equivalents.

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Question 10

Google Cloud product to synchronize data across databases/storage/apps:

✔️ Datastream
❌ Dataprep
❌ Pub/Sub
❌ Dataproc

Explanation:
Datastream provides change data capture (CDC) replication between databases and storage systems.

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🧾 Summary Table

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