Quiz 2026 Reliable Google Professional-Cloud-Database-Engineer: New Google Cloud Certified - Professional Cloud Database Engineer Test Testking

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

Section	Objectives
Optimizing database performance	- Improve database efficiency 1. Tune queries and indexes 2. Troubleshoot performance bottlenecks 3. Optimize storage and compute resources
Migrating data solutions	- Plan and execute migrations 1. Validate migrated workloads 2. Use Database Migration Service 3. Migrate on-premises databases to Google Cloud
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
Designing scalable and highly available cloud database solutions	- Select appropriate database services 1. Choose relational and non-relational databases 2. Design globally distributed architectures 3. Plan scalability and availability strategies
Managing database solutions	- Deploy and administer databases 1. Configure backups and recovery 2. Implement monitoring and alerting 3. Manage maintenance and upgrades

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q97-Q102):

NEW QUESTION # 97
You have a Cloud SQL for MySQL instance with a table of product information including a column of product descriptions. Your application development team is building a customer facing chatbot and would like to find the product that most closely matches a freeform text description provided by the customer. How should you enable this functionality-

A. Create and populate a column of product description embeddings on the product table and perform an approximate nearest neighbor search using the customer's search text.
B. Use the LIKEoperator to match the customer's search text to the product description and return similar rows.
C. Create a stored procedure that uses a regular expression to match the customer's search text to values in the product description column.
D. Create a SQL script that compares the product description and the customer's search text by using the SOUNDEXfunction.

Answer: A

Explanation:
By precomputing embeddings for each product description and storing them in your table, you can turn a freeform customer query into an embedding and then run an approximate nearest- neighbor search to find the semantically closest products. This approach delivers much more relevant matches than regex, LIKE, or SOUNDEX without overloading the database with expensive text-processing on every query.

NEW QUESTION # 98
You are working on a new centralized inventory management system to track items available in 200 stores, which each have 500 GB of dat a. You are planning a gradual rollout of the system to a few stores each week. You need to design an SQL database architecture that minimizes costs and user disruption during each regional rollout and can scale up or down on nights and holidays. What should you do?

A. Use Cloud Spanner with a custom autoscaling solution.
B. Use sharded Cloud SQL instances with one or more stores per database instance.
C. Use a Biglable cluster with autoscaling.
D. Use Oracle Real Application Cluster (RAC) databases on Bare Metal Solution for Oracle.

Answer: B

NEW QUESTION # 99
Your company uses Bigtable for a user-facing application that displays a low-latency real-time dashboard. You need to recommend the optimal storage type for this read-intensive database. What should you do?

A. Recommend hard disk drives (HDD).
B. Recommend splitting the Bigtable instance into two instances in order to load balance the concurrent reads.
C. Recommend solid-state drives (SSD).
D. Recommend mixed storage types.

Answer: C

Explanation:
if you plan to store extensive historical data for a large number of remote-sensing devices and then use the data to generate daily reports, the cost savings for HDD storage might justify the performance tradeoff. On the other hand, if you plan to use the data to display a real-time dashboard, it probably would not make sense to use HDD storage-reads would be much more frequent in this case, and reads that are not scans are much slower with HDD storage.

NEW QUESTION # 100
Your organization has a busy transactional Cloud SQL for MySQL instance. Your analytics team needs access to the data so they can build monthly sales reports. You need to provide data access to the analytics team without adversely affecting performance. What should you do?

A. Create a read replica of the database, enable the cloudsql.iam_authentication flag on the replica, and grant read access to required tables to the analytics team.
B. Enable the cloudsql.iam_authentication flag on the primary database instance, and grant read access to required tables to the analytics team.
C. Provide the database IP address, username, and password of the primary database instance to the analytics, team, and grant read access to required tables to the team.
D. Create a read replica of the database, provide the database IP address, username, and password to the analytics team, and grant read access to required tables to the team.

Answer: A

NEW QUESTION # 101
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 Cloud SQL with read replicas for throughput.
B. Use Firestore, and rely on automatic serverless scaling.
C. Use Memorystore for Memcached, and add nodes as necessary to achieve the required throughput.
D. Use Bigtable, and add nodes as necessary to achieve the required throughput.

Answer: D

Explanation:
https://cloud.google.com/memorystore/docs/redis/redis-overview

NEW QUESTION # 102
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