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Manage a Solution that Can Span Multiple Database Systems practice questions

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What to know about Manage a Solution that Can Span Multiple Database Systems

Manage a Solution that Can Span Multiple Database Systems questions test whether you can apply the concept in context, not just recognise a definition.

How the topic appears in realistic exam-style scenarios.

Which detail in the question changes the correct answer.

How to eliminate plausible but wrong options.

How to connect the question back to the wider exam objective.

Watch out for

Common Manage a Solution that Can Span Multiple Database Systems exam traps

▸Answering from memory before reading the full scenario.
▸Missing a constraint such as cost, availability, security, scope or command context.
▸Choosing a broad answer when the question asks for the most specific fix.
▸Ignoring why the wrong options are tempting.

Practice set

Manage a Solution that Can Span Multiple Database Systems questions

20 questions · select your answer, then reveal the explanation

Question 1mediummultiple choice

Read the full Manage a Solution that Can Span Multiple Database Systems explanation →

An e-commerce company uses Cloud SQL for MySQL for transactional data and BigQuery for analytics. They need to replicate order data from Cloud SQL to BigQuery in near real-time with minimal latency. Which Google Cloud service should they use?

Trap 1: Cloud Dataflow

Dataflow is a stream processing service but requires building a pipeline from scratch. Datastream is simpler for this use case.

Trap 2: Cloud Pub/Sub

Pub/Sub is a messaging service; it would need additional components to load into BigQuery.

Trap 3: Database Migration Service (DMS)

DMS is designed for one-time migrations and continuous CDC for migrations, not for ongoing replication to BigQuery.

Study all Manage a Solution that Can Span Multiple Database Systems common traps →

A
Cloud Dataflow
Why wrong: Dataflow is a stream processing service but requires building a pipeline from scratch. Datastream is simpler for this use case.
B
Cloud Pub/Sub
Why wrong: Pub/Sub is a messaging service; it would need additional components to load into BigQuery.
C
Datastream
Datastream directly replicates CDC data from MySQL to BigQuery with low latency, serverless.
D
Database Migration Service (DMS)
Why wrong: DMS is designed for one-time migrations and continuous CDC for migrations, not for ongoing replication to BigQuery.

Manage a Solution that Can Span Multiple Database Systems practice questions

What to know about Manage a Solution that Can Span Multiple Database Systems

Common Manage a Solution that Can Span Multiple Database Systems exam traps

Manage a Solution that Can Span Multiple Database Systems questions

An e-commerce company uses Cloud SQL for MySQL for transactional data and BigQuery for analytics. They need to replicate order data from Cloud SQL to BigQuery in near real-time with minimal latency. Which Google Cloud service should they use?

A company is migrating an on-premises Oracle database to Cloud SQL for PostgreSQL. They need to assess the compatibility of the existing schema and identify objects that need conversion. Which tool should they use?

A developer needs to query data from Cloud Spanner and Bigtable together in a single SQL statement without moving data. Which Google Cloud feature allows this?

A company uses Cloud Spanner for a globally distributed application. They need to capture all row-level changes (inserts, updates, deletes) and publish them to Pub/Sub for downstream processing. Which Spanner feature should they use?

A startup needs a multi-model database architecture: relational for user profiles, document store for product catalog, and a key-value cache for sessions. Which approach is this called?

A company uses Datastream to replicate data from an on-premises MySQL database to BigQuery. They notice that the destination BigQuery table has a large number of rows that are duplicates with different timestamps. What is the most likely cause?

A retail company wants to run analytics queries across their Cloud SQL PostgreSQL database and BigQuery without moving data. They need to join sales data from Cloud SQL with customer demographics in BigQuery. Which approach should they use?

A company needs to back up their Cloud Bigtable instance for disaster recovery across regions. They want to restore to a different cluster in a different region. What should they use?

A company wants to perform cross-cloud analytics, querying data stored in both Google Cloud BigQuery and Amazon S3. Which BigQuery feature enables this?

A company is migrating from MySQL to Cloud SQL MySQL using Database Migration Service with continuous CDC. They want to test the migrated database with production traffic before cutting over, while still keeping the source as primary. What should they do?

A company uses Datastream to replicate changes from an on-premises Oracle database to BigQuery. They need to also send the same change events to a custom application for real-time processing. Which TWO actions should they take? (Choose 2)

A company is migrating a PostgreSQL database to AlloyDB using Database Migration Service. They want to ensure high availability during the migration with minimal risk. Which TWO practices should they follow? (Choose 2)

A company wants to migrate an on-premises Oracle database to Cloud SQL for PostgreSQL with minimal downtime. They plan to use Database Migration Service (DMS) with continuous migration. What must be configured on the source Oracle database to enable change data capture (CDC)?

A data engineering team needs to replicate data from a PostgreSQL database to BigQuery in near real-time for analytics. Which Google Cloud service is most suitable for this task with minimal setup?

An e-commerce platform uses Cloud Spanner for order processing and BigQuery for analytics. The team needs to capture all changes in the Spanner 'Orders' table and stream them to Pub/Sub for downstream processing. Which Spanner feature should be used?

A company uses Cloud SQL for MySQL with automated backups enabled. They want to perform point-in-time recovery (PITR) to recover from an accidental data deletion that occurred 10 minutes ago. What must be configured for PITR to work?

A financial services company needs to query data across Cloud SQL (PostgreSQL) and BigQuery without moving data. They want to use federated queries from BigQuery to access Cloud SQL tables. What must be created in BigQuery to enable this?

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