Q1. Which Google Cloud service is best suited for relational databases with horizontal scaling and strong consistency? A...

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Added: 2025-05-24 21:21:40 | Edited: 2025-05-24 21:21:40

Q1. Which Google Cloud service is best suited for relational databases with horizontal scaling and strong consistency?

A. Cloud Storage
B. Cloud Spanner
C. BigQuery
D. Datastore

✅ Answer: B. Cloud Spanner
Q2. If you need to perform large-scale analytics on massive datasets using SQL, which service should you choose?

A. Cloud SQL
B. BigQuery
C. Bigtable
D. Cloud Functions

✅ Answer: B. BigQuery

Q3. Which Google Cloud service is ideal for traditional relational databases like MySQL or PostgreSQL?

A. Cloud SQL
B. Spanner
C. Bigtable
D. Datastore

✅ Answer: A. Cloud SQL

2. Semi-structured data (Datastore and Bigtable)

Q4. If you’re working with semi-structured data and want a NoSQL document database with high availability, which service should you use?

A. Cloud SQL
B. Datastore
C. Spanner
D. BigQuery

✅ Answer: B. Datastore

Q5. Which Google Cloud service is a wide-column NoSQL database and is great for large-scale, low-latency workloads?

A. Datastore
B. Bigtable
C. Cloud SQL
D. BigQuery

✅ Answer: B. Bigtable

3. Unstructured data (Cloud Storage)

Q6. You need to store videos, images, PDFs, or log files in the cloud. What service would you use?

A. BigQuery
B. Datastore
C. Cloud Storage
D. Spanner

✅ Answer: C. Cloud Storage

Q7. Cloud Storage is best suited for:

A. Analyzing SQL queries
B. Storing structured relational data
C. Hosting unstructured data like files
D. Running large-scale applications

✅ Answer: C. Hosting unstructured data like files

4. Data warehouses vs. Data lakes

Q8. What is the key difference between a data warehouse and a data lake?

A. A data warehouse stores only unstructured data.
B. A data lake is faster than a data warehouse.
C. A data warehouse stores structured data, while a data lake stores all types of data.
D. A data lake can only be used by data scientists.

✅ Answer: C. A data warehouse stores structured data, while a data lake stores all types of data.

Q1. Which Google Cloud service is best suited for relational databases with horizontal scaling and strong consistency? A. Cloud Storage B. Cloud Spanner C. BigQuery D. Datastore ✅ Answer: B. Cloud Spanner Q2. If you need to perform large-scale analytics on massive datasets using SQL, which service should you choose? A. Cloud SQL B. BigQuery C. Bigtable D. Cloud Functions ✅ Answer: B. BigQuery Q3. Which Google Cloud service is ideal for traditional relational databases like MySQL or PostgreSQL? A. Cloud SQL B. Spanner C. Bigtable D. Datastore ✅ Answer: A. Cloud SQL 2. Semi-structured data (Datastore and Bigtable) Q4. If you’re working with semi-structured data and want a NoSQL document database with high availability, which service should you use? A. Cloud SQL B. Datastore C. Spanner D. BigQuery ✅ Answer: B. Datastore Q5. Which Google Cloud service is a wide-column NoSQL database and is great for large-scale, low-latency workloads? A. Datastore B. Bigtable C. Cloud SQL D. BigQuery ✅ Answer: B. Bigtable 3. Unstructured data (Cloud Storage) Q6. You need to store videos, images, PDFs, or log files in the cloud. What service would you use? A. BigQuery B. Datastore C. Cloud Storage D. Spanner ✅ Answer: C. Cloud Storage Q7. Cloud Storage is best suited for: A. Analyzing SQL queries B. Storing structured relational data C. Hosting unstructured data like files D. Running large-scale applications ✅ Answer: C. Hosting unstructured data like files 4. Data warehouses vs. Data lakes Q8. What is the key difference between a data warehouse and a data lake? A. A data warehouse stores only unstructured data. B. A data lake is faster than a data warehouse. C. A data warehouse stores structured data, while a data lake stores all types of data. D. A data lake can only be used by data scientists. ✅ Answer: C. A data warehouse stores structured data, while a data lake stores all types of data.

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