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| Section | Objectives |
|---|
| Topic 1: 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 2: Optimizing database performance | - Improve database efficiency
- 1. Tune queries and indexes
- 2. Troubleshoot performance bottlenecks
- 3. Optimize storage and compute resources
|
| Topic 3: Designing scalable and highly available cloud database solutions | - Select appropriate database services
- 1. Design globally distributed architectures
- 2. Choose relational and non-relational databases
- 3. Plan scalability and availability strategies
|
| Topic 4: Securing and ensuring compliance of database solutions | - Implement security best practices
- 1. Configure IAM and access controls
- 2. Ensure compliance and governance
- 3. Enable encryption and auditing
|
| Topic 5: Managing database solutions | - Deploy and administer databases
- 1. Manage maintenance and upgrades
- 2. Configure backups and recovery
- 3. Implement monitoring and alerting
|
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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q20-Q25):
NEW QUESTION # 20
Your company is developing a global ecommerce website on Google Cloud. Your development team is working on a shopping cart service that is durable and elastically scalable with live traffic. Business disruptions from unplanned downtime are expected to be less than 5 minutes per month. In addition, the application needs to have very low latency writes. You need a data storage solution that has high write throughput and provides 99.99% uptime. What should you do?
- A. Use Memorystore for data storage.
- B. Use Cloud Spanner for data storage.
- C. Use Cloud SQL for data storage.
- D. Use Bigtable for data storage.
Answer: C
NEW QUESTION # 21
Your team is building a new inventory management application that will require read and write database instances in multiple Google Cloud regions around the globe. Your database solution requires 99.99% availability and global transactional consistency. You need a fully managed backend relational database to store inventory changes. What should you do?
- A. Use Cloud SQL for MySQL
- B. Use Cloud Spanner.
- C. Use Firestore.
- D. Use Bigtable.
Answer: B
Explanation:
Spanner covers the SLA
NEW QUESTION # 22
You are troubleshooting a connection issue with a newly deployed Cloud SQL instance on Google Cloud.
While investigating the Cloud SQL Proxy logs, you see the message Error 403: Access Not Configured. What should you do?
- A. Check the app.yaml value cloud_sql_instances for a misspelled or incorrect instance connection name.
- B. Enable the Cloud SQL Admin API.
- C. Ensure that you are using an external (public) IP address interface.
- D. Check whether your service account has cloudsql.instances.connect permission.
Answer: B
Explanation:
https://cloud.google.com/sql/docs/mysql/connect-auth-proxy#troubleshooting C because in docs it says
"Make sure to enable the Cloud SQL Admin API. If it is not, you see output like Error 403: Access Not Configured in your Cloud SQL
NEW QUESTION # 23
Your ecommerce website captures user clickstream data to analyze customer traffic patterns in real time and support personalization features on your website. You plan to analyze this data using big data tools. You need a low-latency solution that can store 8 TB of data and can scale to millions of read and write requests per second. What should you do?
- A. Deploy a Cloud SQL environment with read replicas for improved performance. Use Datastream to export data to Cloud Storage and analyze with Dataproc and the Cloud Storage connector.
- B. Stream your data into BigQuery and use Dataproc and the BigQuery Storage API to analyze large volumes of data.
- C. Write your data into Bigtable and use Dataproc and the Apache Hbase libraries for analysis.
- D. Use Memorystore to handle your low-latency requirements and for real-time analytics.
Answer: A
NEW QUESTION # 24
You need to redesign the architecture of an application that currently uses Cloud SQL for PostgreSQL. The users of the application complain about slow query response times. You want to enhance your application architecture to offer sub-millisecond query latency. What should you do?
- A. Configure Memorystore, and modify your application to offload queries.
- B. Configure Firestore, and modify your application to offload queries.
- C. Configure Bigtable, and modify your application to offload queries.
- D. Configure Cloud SQL for PostgreSQL read replicas to offload queries.
Answer: A
Explanation:
"sub-millisecond latency" always involves Memorystore. Furthermore, as we are talking about a relational DB (Cloud SQL), BigTable is not a solution to be considered.
NEW QUESTION # 25
......
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