A company runs a global application that uses Cloud Spanner for transaction processing. They need to ensure that the database remains available even if an entire region fails. They are considering using a multi-region configuration. What is a key consideration they should evaluate?

Multi-region configurations are only available for certain instance types.

Multi-region configurations in Cloud Spanner replicate data across multiple regions, providing automatic failover.

Multi-region configurations require manual failover in case of a regional outage.

Multi-region configurations only replicate data asynchronously, which may cause data loss.

A data engineer needs to load a large CSV file (10 GB) from a local server into BigQuery for analysis. The file is too large to upload directly via the console. What is the most efficient way to load this data?

Use gsutil cp to upload the file to Cloud Storage, then use bq load to load it into BigQuery.

Use the BigQuery console to upload the file directly.

Use bq load directly with the local file path.

Use gcloud storage cp to upload the file to BigQuery directly.

A company runs a global application that uses Cloud SQL for MySQL. They need to ensure high availability and disaster recovery across regions. They are considering using a cross-region replica. What is a key limitation they should be aware of?

Cross-region replicas cannot be used for disaster recovery.

Cross-region replicas do not support automatic failover.

Cross-region replicas have higher latency than regional replicas.

Cross-region replicas are read-only and cannot be promoted to primary automatically.

A startup is building a real-time chat application that needs to send messages between users with low latency. They expect millions of messages per day. They also need to store chat history for later retrieval. Which combination of Google Cloud products should they use?

Dataflow for message delivery and Cloud Storage for chat history

Pub/Sub for message delivery and Firestore for chat history

Memorystore for message delivery and Cloud Spanner for chat history

Cloud SQL for message delivery and Bigtable for chat history

Google CloudAssociate Cloud Engineer

Domain 2Objective 2

2.2 Planning and Implementing Storage and Data Solutions ASSOCIATE-CLOUD-ENGINEER Practice Questions (Page 3)

Part of the Planning and implementing a cloud solution domain, which accounts for ~30% of the ASSOCIATE-CLOUD-ENGINEER exam.

24questions here

5free pages

9concepts

~30%of the exam

Questions 11–15

11expert · hard
A company runs a global application that uses Cloud Spanner for transaction processing. They need to ensure that the database remains available even if an entire region fails. They are considering using a multi-region configuration. What is a key consideration they should evaluate?
Select an answer first
12application · medium
A data engineer needs to load a large CSV file (10 GB) from a local server into BigQuery for analysis. The file is too large to upload directly via the console. What is the most efficient way to load this data?
Select an answer first
13expert · hard
A company runs a global application that uses Cloud SQL for MySQL. They need to ensure high availability and disaster recovery across regions. They are considering using a cross-region replica. What is a key limitation they should be aware of?
Select an answer first
14application · medium
A startup is building a real-time chat application that needs to send messages between users with low latency. They expect millions of messages per day. They also need to store chat history for later retrieval. Which combination of Google Cloud products should they use?
Select an answer first
15foundation · easy
A company needs a file storage solution that provides a POSIX-compliant file system for a group of Compute Engine instances running a shared application. Which Google Cloud storage product is designed for this use case?
Select an answer first

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