Professional-Cloud-Database-Engineer Pass Test, Relevant Professional-Cloud-Database-Engineer Questions

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

Section	Weight	Objectives
Manage a solution that spans multiple database technologies	25%	- Manage database operations and maintenance 1. Data lifecycle management 2. Updates and upgrades 3. Index management - Configure monitoring and troubleshooting 1. Troubleshoot common issues 2. Query optimization 3. Performance monitoring - Determine connectivity and access management 1. User authentication and authorization 2. IAM policies and permissions - Optimize cost and performance 1. Cost optimization 2. Scaling strategies 3. Automate operational tasks
Design innovative, scalable, and highly available cloud database solutions	32%	- Analyze variables for capacity and usage planning 1. Size compute and storage resources 2. Solution sizing based on workload and requirements 3. Evaluate performance and cost tradeoffs - Design for backup and recovery 1. RTO and RPO design 2. Data import/export planning 3. Backup strategies - Design for security and compliance 1. Data encryption 2. Compliance requirements 3. Access control and IAM - Design for high availability and reliability 1. High availability configurations 2. Replication strategies 3. Disaster recovery planning
Deploy scalable and highly available databases in Google Cloud	20%	- Configure monitoring and alerting 1. Health checks and alerts 2. Performance dashboards - Automate deployment and scaling 1. Infrastructure as Code 2. Auto-scaling setup - Implement high availability solutions 1. Multi-region replication 2. Read replicas deployment 3. Provision HA configurations
Migrate data solutions	14%	- Implement migration and replication 1. Data replication methods 2. Migration tool selection 3. Schema conversion - Validate and cut over migration 1. Cutover procedures 2. Data integrity verification - Design migration strategies 1. Fall-back planning 2. Downtime requirements analysis

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Relevant Professional-Cloud-Database-Engineer Questions, Professional-Cloud-Database-Engineer Certification Training

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q123-Q128):

NEW QUESTION # 123
Your team is building an application that stores and analyzes streaming time series financial dat a. You need a database solution that can perform time series-based scans with sub-second latency. The solution must scale into the hundreds of terabytes and be able to write up to 10k records per second and read up to 200 MB per second. What should you do?

A. Use Cloud Spanner.
B. Use Firestore.
C. Use Bigtable
D. Use BigQuery.

Answer: C

Explanation:
Financial data, such as transaction histories, stock prices, and currency exchange rates.
https://cloud.google.com/bigtable/docs/overview#what-its-good-for
With SSD:
Reads - up to 10,000 rows per second
Writes - up to 10,000 rows per second
Scans - up to 220 MB/s
https://cloud.google.com/bigtable/docs/performance#typical-workloads

NEW QUESTION # 124
You are configuring a brand new Cloud SQL for PostgreSQL database instance in Google Cloud.
Your application team wants you to deploy one primary instance, one standby instance, and one read replica instance. You need to ensure that you are following Google-recommended practices for high availability. What should you do?

A. Configure the primary, standby, and read replica instances in zone A, all in the same region.
B. Configure the primary instance in one region, the standby instance in a second region, and the read replica in a third region.
C. Configure the primary instance in zone A, the standby instance in zone C, and the read replica in zone B, all in the same region.
D. Configure the primary and standby instances in zone A and the read replica in zone B, all in the same region.

Answer: C

Explanation:
https://cloud.google.com/sql/docs/postgres/high-availability#failover-overview

NEW QUESTION # 125
You want to migrate your on-premises PostgreSQL database to Compute Engine. You need to migrate this database with the minimum downtime possible. What should you do?

A. Create a hot standby on Compute Engine, and use PgBouncer to switch over the connections.
B. Use Database Migration Service to migrate your database.
C. Create a read replica on Cloud SQL, and then promote it to a read/write standalone instance.
D. Perform a full backup of your on-premises PostgreSQL, and then, in the migration window, perform an incremental backup.

Answer: A

Explanation:
PgBouncer maintains a pool for connections for each database and user combination. PgBouncer either creates a new database connection for a client or reuses an existing connection for the same user and database.
+ PgBouncer is a simple PostgreSQLconnection pool that allows for several thousand connections at a time.
Using Kubernetes Engine to run a Helm Chart w/ PgBouncer based on the great article from futuretech- industries, we were able to set up an easily deployable system to get the most out of our CloudSQL DBs without breaking the bank.https://medium.com/google-cloud/increasing-cloud-sql-postgresql-max- connections-w-pgbouncer-kubernetes-engine-49b0b2894820#:~:text=That%20is%20where,breaking%20the%
20bank.

NEW QUESTION # 126
Your application stores session documents in Firestore and queries them by steps, sessionDuration, and energyBurned. After a 30 day test period, latency is acceptable but costs are high. Which Firestore change would reduce cost while preserving performance and availability?

A. Trim Firestore indexes to only required ones
B. Add Cloud Memorystore cache
C. Denormalize documents
D. Use batched writes for lower cost

Answer: C

Explanation:
Firestore automatically creates single field indexes for most fields which means each document write updates multiple index entries and drives up write and storage costs. By trimming indexes to only the ones required by your queries on steps, sessionDuration and energyBurned you reduce index write amplification and index storage while preserving the performance of the queries you care about. This is a configuration change that does not reduce availability because Firestore remains fully managed and you keep the essential indexes for your filters and sort orders.
You can delete unused composite indexes and add single field index exemptions for attributes that are not part of your supported query patterns. Monitor index usage and keep only the minimal set that powers production queries so you sustain acceptable latency while lowering cost.

NEW QUESTION # 127
You run a toy sales ecommerce application on Spanner. The application contains details about the various product listings such as name, category, description, and review(s). Your leadership wants to enable customers to ask free-form questions about the product catalog. You want to implement this functionality in the easiest, quickest, and least expensive way possible.
What should you do?

A. Generate vector embeddings for product information in Spanner. Find the vector with the smallest distance between the users' query and existing product information or review by using the EUCLIDEAN_DISTANCE()function in Spanner. Return the closest product information or review.
B. Register an existing Generative AI Vertex model in Spanner. Use the ML.PREDICTfunction to supply the model with a user query along with the product information in a SQL query. Return the response back to the application.
C. Create, train and deploy a custom ML model(s). Fetch toy details from Spanner and invoke ML predictions from the application layer to return the response.
D. Create a Spanner full-text search index. Find the product information or review against the user's question in a SQL query. Return the response back to the application.

Answer: B

Explanation:
Registering an existing Vertex AI generative model in Spanner and calling it with ML.PREDICT lets you implement free-form Q&A directly from SQL without building custom ML pipelines, generating/maintaining embeddings, or deploying your own model - making it the quickest and lowest-effort approach while keeping the solution cost-effective by reusing a managed model.

NEW QUESTION # 128
......

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