Latest PDF of Google-PCDE: Google Cloud Certified - Professional Cloud Database Engineer

Google Cloud Certified - Professional Cloud Database Engineer Practice Test

Google-PCDE Exam Format | Course Contents | Course Outline | Exam Syllabus | Exam Objectives

Exam Specification: Google-PCDE Google Cloud Certified - Professional Cloud Database Engineer

Exam Name: Google-PCDE Google Cloud Certified - Professional Cloud Database Engineer
Exam Code: Google-PCDE
Exam Duration: 2 hours
Passing Score: Not specified
Exam Format: Multiple-choice and scenario-based questions

Course Outline:

1. Google Cloud Platform Overview
- Overview of Google Cloud Platform (GCP) services
- Understanding GCP database offerings
- Key concepts and features of GCP database solutions

2. Database Planning and Design
- Assessing business requirements for database solutions
- Designing database architectures and schemas
- Planning for scalability, availability, and disaster recovery

3. Database Implementation and Deployment
- Deploying and provisioning database instances on GCP
- Configuring database security and access controls
- Migrating data to GCP databases

4. Database Management and Monitoring
- Managing database operations and configurations
- Performing database backups and restores
- Monitoring database performance and optimizing query execution

5. Database Performance Tuning and Optimization
- Analyzing database performance bottlenecks
- Optimizing database schemas and indexes
- Implementing caching and query optimization techniques

6. Data Security and Compliance
- Securing data in GCP databases
- Implementing encryption and access controls
- Ensuring compliance with data privacy regulations

Exam Objectives:

1. Understand the key features and services of Google Cloud Platform (GCP) databases.
2. Plan and design database architectures based on business requirements.
3. Implement and deploy GCP database solutions.
4. Manage and monitor database operations and configurations.
5. Perform database performance tuning and optimization.
6. Ensure data security and compliance in GCP databases.

Exam Syllabus:

Section 1: Google Cloud Platform Overview (15%)
- Overview of GCP services
- GCP database offerings and features

Section 2: Database Planning and Design (20%)
- Assessing business requirements
- Database architecture and schema design
- Scalability, availability, and disaster recovery planning

Section 3: Database Implementation and Deployment (20%)
- Deploying and provisioning database instances
- Security and access control configuration
- Data migration to GCP databases

Section 4: Database Management and Monitoring (20%)
- Managing database operations and configurations
- Backup and restore procedures
- Performance monitoring and query optimization

Section 5: Database Performance Tuning and Optimization (15%)
- Performance bottleneck analysis
- Schema and index optimization
- Caching and query optimization techniques

Section 6: Data Security and Compliance (10%)
- Database security measures
- Encryption and access control implementation
- Compliance with data privacy regulations

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Google-PCDE PDF Sample Questions

Google-PCDE Sample Questions

Google
Google-PCDE
Google Cloud Certified - Professional Cloud Database
Engineer
https://killexams.com/pass4sure/exam-detail/Google-PCDE
Question: 30
Your company has PostgreSQL databases on-premises and on Amazon Web Services (AWS). You are planning
multiple database migrations to Cloud SQL in an effort to reduce costs and downtime. You want to follow Google-
recommended practices and use Google native data migration tools. You also want to closely monitor the migrations
as part of the cutover strategy .
What should you do?
A. Use Database Migration Service to migrate all databases to Cloud SQL.
B. Use Database Migration Service for one-time migrations, and use third-party or partner tools for change data
capture (CDC) style migrations.
C. Use data replication tools and CDC tools to enable migration.
D. Use a combination of Database Migration Service and partner tools to support the data migration strategy.
Answer: A
Question: 31
Your organization operates in a highly regulated industry. Separation of concerns (SoC) and security principle of least
privilege (PoLP) are critical. The operations team consists of: Person A is a database administrator.
Person B is an analyst who generates metric reports.
Application C is responsible for automatic backups.
You need to assign roles to team members for Cloud Spanner .
Which roles should you assign?
A. roles/spanner.databaseAdmin for Person A
roles/spanner.databaseReader for Person B
roles/spanner.backupWriter for Application C
B. roles/spanner.databaseAdmin for Person A
roles/spanner.databaseReader for Person B
roles/spanner.backupAdmin for Application C
C. roles/spanner.databaseAdmin for Person A
roles/spanner.databaseUser for Person B
roles/spanner databaseReader for Application C
D. roles/spanner.databaseAdmin for Person A
roles/spanner.databaseUser for Person B
roles/spanner.backupWriter for Application C
Answer: B
Question: 32
You are setting up a Bare Metal Solution environment. You need to update the operating system to the latest version.
You need to connect the Bare Metal Solution environment to the internet so you can receive software updates .
What should you do?
A. Setup a static external IP address in your VPC network.
B. Set up bring your own IP (BYOIP) in your VPC.
C. Set up a Cloud NAT gateway on the Compute Engine VM.
D. Set up Cloud NAT service.
Answer: C
Question: 33
Your organization has a critical business app that is running with a Cloud SQL for MySQL backend database. Your
company wants to build the most fault-tolerant and highly available solution possible. You need to ensure that the
application database can survive a zonal and regional failure with a primary region of us-central1 and the backup
region of us-east1 .
What should you do?
A. Provision a Cloud SQL for MySQL instance in us-central1-a.
Create a multiple-zone instance in us-west1-b.
Create a read replica in us-east1-c.
B. Provision a Cloud SQL for MySQL instance in us-central1-a.
Create a multiple-zone instance in us-central1-b.
Create a read replica in us-east1-b.
C. Provision a Cloud SQL for MySQL instance in us-central1-a.
Create a multiple-zone instance in us-east-b.
Create a read replica in us-east1-c.
D. Provision a Cloud SQL for MySQL instance in us-central1-a.
Create a multiple-zone instance in us-east1-b.
Create a read replica in us-central1-b.
Answer: B
Question: 34
Your customer is running a MySQL database on-premises with read replicas. The nightly incremental backups are
expensive and add maintenance overhead. You want to follow Google-recommended practices to migrate the database
to Google Cloud, and you need to ensure minimal downtime .
What should you do?
A. Create a Google Kubernetes Engine (GKE) cluster, install MySQL on the cluster, and then import the dump file.
B. Use the mysqldump utility to take a backup of the existing on-premises database, and then import it into Cloud
SQL.
C. Create a Compute Engine VM, install MySQL on the VM, and then import the dump file.
D. Create an external replica, and use Cloud SQL to synchronize the data to the replica.
Answer: D
Question: 35
You are managing multiple applications connecting to a database on Cloud SQL for PostgreSQL. You need to be able
to monitor database performance to easily identify applications with long-running and resource-intensive queries .
What should you do?
A. Use log messages produced by Cloud SQL.
B. Use Query Insights for Cloud SQL.
C. Use the Cloud Monitoring dashboard with available metrics from Cloud SQL.
D. Use Cloud SQL instance monitoring in the Google Cloud Console.
Answer: B
Question: 36
Your company uses the Cloud SQL out-of-disk recommender to analyze the storage utilization trends of production
databases over the last 30 days. Your database operations team uses these recommendations to proactively monitor
storage utilization and implement corrective actions. You receive a recommendation that the instance is likely to run
out of disk space .
What should you do to address this storage alert?
A. Normalize the database to the third normal form.
B. Compress the data using a different compression algorithm.
C. Manually or automatically increase the storage capacity.
D. Create another schema to load older data.
Answer: C
Question: 37
Your organization is running a MySQL workload in Cloud SQL. Suddenly you see a degradation in database
performance. You need to identify the root cause of the performance degradation .
What should you do?
A. Use Logs Explorer to analyze log data.
B. Use Cloud Monitoring to monitor CPU, memory, and storage utilization metrics.
C. Use Error Reporting to count, analyze, and aggregate the data.
D. Use Cloud Debugger to inspect the state of an application.
Answer: B
Question: 38
Your application uses Cloud SQL for MySQL. Your users run reports on data that relies on near-real time; however,
the additional analytics caused excessive load on the primary database. You created a read replica for the analytics
workloads, but now your users are complaining about the lag in data changes and that their reports are still slow. You
need to improve the report performance and shorten the lag in data replication without making changes to the current
reports .
Which two approaches should you implement? (Choose two.)
A. Create secondary indexes on the replica.
B. Create additional read replicas, and partition your analytics users to use different read replicas.
C. Disable replication on the read replica, and set the flag for parallel replication on the read replica.
Re-enable replication and optimize performance by setting flags on the primary instance.
D. Disable replication on the primary instance, and set the flag for parallel replication on the primary instance. Re-
enable replication and optimize performance by setting flags on the read replica.
E. Move your analytics workloads to BigQuery, and set up a streaming pipeline to move data and update BigQuery.
Answer: B, C
Question: 39
You are designing an augmented reality game for iOS and Android devices. You plan to use Cloud Spanner as the
primary backend database for game state storage and player authentication. You want to track in-game rewards that
players unlock at every stage of the game. During the testing phase, you discovered that costs are much higher than
anticipated, but the query response times are within the SL
A. You want to follow Google-recommended practices. You need the database to be performant and highly available
while you keep costs low .
What should you do?
A. Manually scale down the number of nodes after the peak period has passed.
B. Use interleaving to co-locate parent and child rows.
C. Use the Cloud Spanner query optimizer to determine the most efficient way to execute the SQL query.
D. Use granular instance sizing in Cloud Spanner and Autoscaler.
Answer: C
Question: 40
Your team uses thousands of connected IoT devices to collect device maintenance data for your oil and gas customers
in real time. You want to design inspection routines, device repair, and replacement schedules based on insights
gathered from the data produced by these devices. You need a managed solution that is highly scalable, supports a
multi-cloud strategy, and offers low latency for these IoT devices .
What should you do?
A. Use Firestore with Looker.
B. Use Cloud Spanner with Data Studio.
C. Use MongoD8 Atlas with Charts.
D. Use Bigtable with Looker.
Answer: C
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