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Google Professional-Cloud-Database-Engineer Exam Syllabus Topics:

Section	Objectives
Topic 1: Securing and ensuring compliance of database solutions	- Implement security best practices 1. Enable encryption and auditing 2. Configure IAM and access controls 3. Ensure compliance and governance
Topic 2: Optimizing database performance	- Improve database efficiency 1. Troubleshoot performance bottlenecks 2. Optimize storage and compute resources 3. Tune queries and indexes
Topic 3: Migrating data solutions	- Plan and execute migrations 1. Migrate on-premises databases to Google Cloud 2. Use Database Migration Service 3. Validate migrated workloads
Topic 4: Managing database solutions	- Deploy and administer databases 1. Implement monitoring and alerting 2. Manage maintenance and upgrades 3. Configure backups and recovery
Topic 5: Designing scalable and highly available cloud database solutions	- Select appropriate database services 1. Plan scalability and availability strategies 2. Choose relational and non-relational databases 3. Design globally distributed architectures

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q120-Q125):

NEW QUESTION # 120
How should you configure a Cloud SQL for PostgreSQL instance in us-central1 to use a customer-managed encryption key from a Cloud KMS key ring in us-central1 with key rotation every 30 days?

A. Use Google managed encryption
B. Enable CMEK on the Cloud SQL instance without attaching a key
C. Create the KMS key ring and key in us-east1 and select it for the instance
D. Create a Cloud KMS key ring and key in us-central1 then enable CMEK on the Cloud SQL instance and select that key

Answer: D

Explanation:
Cloud SQL for PostgreSQL supports customer managed encryption keys and the key must be created in the same region as the instance. Creating the key ring and key in us-central1 and enabling CMEK on the instance ensures the service can access the key and satisfies the location requirement. You configure a 30 day rotation schedule on the Cloud KMS key and Cloud SQL will automatically use the current primary key version so ongoing rotations do not require application changes.

NEW QUESTION # 121
Your team uses thousands of connected IoT devices to collect device maintenance data for your oil and gas customers in real time. You want to design inspection routines, device repair, and replacement schedules based on insights gathered from the data produced by these devices. You need a managed solution that is highly scalable, supports a multi-cloud strategy, and offers low latency for these IoT devices. What should you do?

A. Use Firestore with Looker.
B. Use Cloud Spanner with Data Studio.
C. Use MongoD8 Atlas with Charts.
D. Use Bigtable with Looker.

Answer: C

NEW QUESTION # 122
You are designing a database strategy for a new web application. You plan to start with a small pilot in one country and eventually expand to millions of users in a global audience. You need to ensure that the application can run 24/7 with minimal downtime for maintenance. What should you do?

A. Use Cloud SQL with cross-region replicas.
B. Use Cloud Spanner in a regional configuration.
C. Use Cloud Spanner in a multi-region configuration.
D. Use highly available Cloud SQL with multiple zones.

Answer: B

NEW QUESTION # 123
You are building a data warehouse on BigQuery. Sources of data include several MySQL databases located on-premises.
You need to transfer data from these databases into BigQuery for analytics. You want to use a managed solution that has low latency and is easy to set up. What should you do?

A. Use Cloud Data Fusion and scheduled workflows to extract data from MySQL. Transform this data into the appropriate schema, and load this data into your BigQuery database.
B. Create extracts from your on-premises databases periodically, and push these extracts to Cloud Storage.
Upload the changes into BigQuery, and merge them with existing tables.
C. Use Database Migration Service to replicate data to a Cloud SQL for MySQL instance. Create federated tables in BigQuery on top of the replicated instances to transform and load the data into your BigQuery database.
D. Use Datastream to connect to your on-premises database and create a stream. Have Datastream write to Cloud Storage. Then use Dataflow to process the data into BigQuery.

Answer: D

NEW QUESTION # 124
You are configuring a new application that has access to an existing Cloud Spanner database. The new application reads from this database to gather statistics for a dashboard. You want to follow Google-recommended practices when granting Identity and Access Management (IAM) permissions. What should you do?

A. Reuse the existing service account that populates this database.
B. Create a new service account, and grant it the spanner.databases.select permission.
C. Create a new service account, and grant it the Cloud Spanner Database Admin role.
D. Create a new service account, and grant it the Cloud Spanner Database Reader role.

Answer: D

Explanation:
https://cloud.google.com/iam/docs/overview

NEW QUESTION # 125
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