Professional-Cloud-Database-Engineer Certification - Professional-Cloud-Database-Engineer Lead2pass Review

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| Section | Objectives |
|---|
| Ensure reliability, performance, and optimization | - Performance optimization
- 1. Workload tuning across database services
- 2. Indexing, query optimization, and caching strategies
- Security and compliance
- 1. IAM roles and access control
- 2. Encryption at rest and in transit
|
| Migrate data solutions to Google Cloud | - Database migration strategies
- 1. Lift-and-shift vs re-platforming
- 2. Online vs offline migration tools (e.g., Database Migration Service)
|
| Design scalable and highly available database solutions | - Select appropriate database services (relational, NoSQL, analytical)
- 1. Cloud SQL vs AlloyDB vs Spanner selection criteria
- 2. Firestore and document database patterns
- 3. Bigtable use cases and schema design
- Design for high availability and disaster recovery
- 1. Regional vs multi-regional architectures
- 2. Replication strategies and failover design
|
| Manage a database solution spanning multiple systems | - Operational database management
- 1. Backup and restore strategies
- 2. Capacity planning and scaling
- 3. Monitoring and performance tuning
|
>> Professional-Cloud-Database-Engineer Certification <<
Professional-Cloud-Database-Engineer Lead2pass Review | Valid Dumps Professional-Cloud-Database-Engineer Files
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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q132-Q137):
NEW QUESTION # 132
Your organization stores marketing data such as customer preferences and purchase history on Bigtable. The consumers of this database are predominantly data analysts and operations users. You receive a service ticket from the database operations department citing poor database performance between 9 AM-10 AM every day. The application team has confirmed no latency from their logs. A new cohort of pilot users that is testing a dataset loaded from a third-party data provider is experiencing poor database performance. Other users are not affected. You need to troubleshoot the issue. What should you do?
- A. Use Key Visualizer for Bigtable.
- B. Add more nodes to the Bigtable cluster.
- C. Check the Cloud Monitoring table/bytes_used metric from Bigtable.
- D. Isolate the data analysts and operations user groups to use different Bigtable instances.
Answer: C
NEW QUESTION # 133
You are running a Cloud SQL for PostgreSQL 13 Enterprise Edition instance. During an audit, you discovered that the write-ahead logs used for point-in-time recovery (PITR) are stored on disk. You need to store PITR logs in a Cloud Storage bucket going forward. How should you do this without compromising recoverability or losing the current PITR logs-
- A. Clone the instance. Create a new instance with PITR retention set to 30 days.
- B. Disable PITR, then enable PITR.
- C. Upgrade to Enterprise Plus Edition.
- D. Change the transaction logs (WAL) retention period.
Answer: C
Explanation:
You should upgrade your instance to Enterprise-Plus - the in-place upgrade will automatically switch your WAL archival from local disk to Cloud Storage (for any Enterprise-edition instance that had PITR enabled before Jan-9,-2023) without downtime or losing existing logs.
NEW QUESTION # 134
You finished migrating an on-premises MySQL database to Cloud SQL. You want to ensure that the daily export of a table, which was previously a cron job running on the database server, continues. You want the solution to minimize cost and operations overhead. What should you do?
- A. Use Cloud Scheduler and Cloud Functions to run the daily export.
- B. Create a streaming Datatlow job to export the table.
- C. Set up Cloud Composer, and create a task to export the table daily.
- D. Run the cron job on a Compute Engine instance to continue the export.
Answer: C
NEW QUESTION # 135
You are developing a new application on a VM that is on your corporate network. The application will use Java Database Connectivity (JDBC) to connect to Cloud SQL for PostgreSQL. Your Cloud SQL instance is configured with IP address 192.168.3.48, and SSL is disabled. You want to ensure that your application can access your database instance without requiring configuration changes to your database. What should you do?
- A. Define a connection string using Cloud SQL Auth proxy configured with a service account to point to the internal (private) IP address of your Cloud SQL instance.
- B. Define a connection string using a database username and password to point to the internal (private) IP address of your Cloud SQL instance.
- C. Define a connection string using Cloud SQL Auth proxy configured with a service account to point to the external (public) IP address of your Cloud SQL instance.
- D. Define a connection string using your Google username and password to point to the external (public) IP address of your Cloud SQL instance.
Answer: A
Explanation:
The Cloud SQL connectors are libraries that provide encryption and IAM-based authorization when connecting to a Cloud SQL instance. They can't provide a network path to a Cloud SQL instance if one is not already present.
Other ways to connect to a Cloud SQL instance include using a database client or the Cloud SQL Auth proxy.
https://cloud.google.com/sql/docs/postgres/connect-connectors
NEW QUESTION # 136
You are choosing a database backend for a new application. The application will ingest data points from IoT sensors. You need to ensure that the application can scale up to millions of requests per second with sub-10ms latency and store up to 100 TB of history. What should you do?
- A. Use Memorystore for Memcached, and add nodes as necessary to achieve the required throughput.
- B. Use Bigtable, and add nodes as necessary to achieve the required throughput.
- C. Use Cloud SQL with read replicas for throughput.
- D. Use Firestore, and rely on automatic serverless scaling.
Answer: B
Explanation:
https://cloud.google.com/memorystore/docs/redis/redis-overview
NEW QUESTION # 137
......
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