Google Professional-Cloud-Database-Engineer Test Dumps Pdf | New Professional-Cloud-Database-Engineer Dumps Questions

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Google Cloud Certified - Professional Cloud Database Engineer exam is a computer-based test that consists of multiple-choice and multiple-select questions. Professional-Cloud-Database-Engineer exam duration is two hours, and the passing score is 70%. Professional-Cloud-Database-Engineer exam can be taken online or at a testing center.
Google Professional-Cloud-Database-Engineer Exam is a certification exam designed to test the skills and knowledge of database engineers who work with Google Cloud Platform (GCP). Professional-Cloud-Database-Engineer exam is part of Google's Cloud Certified program, which offers certification for various roles in cloud computing.
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Google Professional-Cloud-Database-Engineer Certification is an essential credential for professionals seeking to demonstrate their expertise in designing, developing, and managing cloud-based databases on Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification provides candidates with the skills, knowledge, and credibility required to advance their careers in the cloud database industry. If you are interested in becoming a Google Cloud Certified Professional-Cloud-Database-Engineer, start preparing today by reviewing the exam objectives, taking practice exams, and gaining hands-on experience with Google Cloud Platform.
Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q151-Q156):
NEW QUESTION # 151
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. Use Memorystore to handle your low-latency requirements and for real-time analytics.
- B. Write your data into Bigtable and use Dataproc and the Apache Hbase libraries for analysis.
- C. 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.
- D. Stream your data into BigQuery and use Dataproc and the BigQuery Storage API to analyze large volumes of data.
Answer: B
Explanation:
Start with the lowest tier and smallest size and then grow your instance as needed. Memorystore provides automated scaling using APIs, and optimized node placement across zones for redundancy. Memorystore for Memcached can support clusters as large as 5 TB, enabling millions of QPS at very low latency
NEW QUESTION # 152
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. Use Database Migration Service to migrate your database.
- B. Create a hot standby on Compute Engine, and use PgBouncer to switch over the connections.
- C. Perform a full backup of your on-premises PostgreSQL, and then, in the migration window, perform an incremental backup.
- D. Create a read replica on Cloud SQL, and then promote it to a read/write standalone instance.
Answer: B
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 # 153
You want to migrate an on-premises MySQL database to Cloud SQL. The on-premises database currently has 16 cores and 64-GB of RAM and averages 75% CPU utilization to support an application with over 100.000 tables. You need to specify the most cost-effective machine size you need when migrating to Cloud SQL for MySQL. What should you do-
- A. Select a Cloud SQL for MySQL database with a machine configuration of 32 cores and 256-GB of RAM.
- B. Select a Cloud SQL for MySQL database with a machine configuration of 12 cores and 48-GB of RAM.
- C. Select a Cloud SQL for MySQL database with a machine configuration of 16 cores and 64-GB of RAM.
- D. Select a Cloud SQL for MySQL database with a machine configuration of 64 cores and 768-GB of RAM.
Answer: C
Explanation:
Matching your peak-sized on-prem configuration (16-vCPUs and 64-GB RAM) in Cloud SQL gives you the capacity to sustain your current 75% average CPU load plus headroom for traffic spikes. Downsizing to 12-vCPUs risks CPU saturation, while larger tiers would add unnecessary cost.
NEW QUESTION # 154
Your organization has hundreds of Cloud SQL for MySQL instances. You want to follow Google-recommended practices to optimize platform costs. What should you do?
- A. Build indexes on heavily accessed tables.
- B. Run the Recommender API to identify overprovisioned instances.
- C. Use Query Insights to identify idle instances.
- D. Remove inactive user accounts.
Answer: B
NEW QUESTION # 155
You are designing a highly available (HA) Cloud SQL for PostgreSQL instance that will be used by 100 databases. Each database contains 80 tables that were migrated from your on-premises environment to Google Cloud. The applications that use these databases are located in multiple regions in the US, and you need to ensure that read and write operations have low latency. What should you do?
- A. Deploy 4 Cloud SQL instances in the us-central1 region, and create read replicas in us-central1, us-east1 and us-west1.
- B. Deploy 4 Cloud SQL instances in the us-central1 region with HA enabled, and create read replicas in us-central1, us-east1, and us-west1.
- C. Deploy 2 Cloud SQL instances in the us-central1 region with HA enabled, and create read replicas in us-east1 and us-west1.
- D. Deploy 2 Cloud SQL instances in the us-central1 region, and create read replicas in us-east1 and us-west1.
Answer: D
NEW QUESTION # 156
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