Google Cloud Certified - Professional Cloud Database Engineer Exam Dumps

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

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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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Google-PCDE Cloud Study Guide

A complete book to constructing event-driven architecture on Azure, AWS, and Google Cloud

in this article, you’ll find tips to Azure, AWS, and Google Cloud materials, together with exciting architecture examples that contain the AWS EventBridge, SNS, Azure carrier Bus, Eventgrid, and Google Cloud Eventarc. These examples can help you more suitable hold close the components’ ideas and permit you to kickstart building your own structure the use of an event-pushed method.

The AWS standard Queue provider (SQS) is a message queue equipment that operates on a first-in, first-out (FIFO) basis, enabling convenient sending, storage, and message retrieval. This service is relevant for simple to intermediate scenarios, similar to connecting varied features to stay away from records loss and direct connections. SQS offers a couple of points, including at-least-once birth, which ensures that messages are delivered, and standard FIFO, which promises messages in a random order using the usual first-in, first-out components.

besides the fact that children, for advanced architectures that depend on assorted services, SQS can also now not be the optimal alternative as a result of its message measurement and retention duration restrictions, that can have an effect on the scalability and performance of the device.

Google Cloud has Google Cloud Pub/Sub, a messaging provider within the Google Cloud Platform. It provides asynchronous messaging between independent accessories or features in a scalable and reliable manner. Pub/Sub presents facets like at-least-as soon as birth, push and pull message beginning modes, and a topic-based mostly publish-subscribe mannequin.

ASO Azure has managed a service referred to as Az Queue. it is designed to tackle large numbers of messages efficaciously and reliably. Messages can also be up to sixty four KB in dimension, and there is no limit to the variety of messages you could store in a queue. Messages are kept in a first-in-first-out (FIFO) order, which ensures that messages are processed in the order they are bought.

For complex situations, Azure can offer an Azure provider bus. Azure service Bus is a completely managed messaging service permitting reputable message beginning between functions or capabilities. It supports pub/sub and queue-primarily based messaging patterns and provides facets comparable to message ordering, dead-lettering, and therapeutic massage classes. It additionally presents advanced points such as auto-forwarding and partitioning for prime scalability.

Alongside Queues, Azure service bus offers topics. themes aid writer-subscriber messaging patterns with diverse subscribers receiving the equal message.

Let’s look on the structure instance of adventure-driven and microservice structure to locate the plagiary content. similar methods had been built-in into greater schooling institutions and patent offices.

determine 1. Detecting Plagiarism solution architecture

[Click on the image to view full-size]

Azure service Bus is a imperative carrier that enables the trade of processed messages amongst a lot of features represented with the aid of Azure features. each feature represents a single piece of performance. functions like Google API, RSS, and blogs serve as proxies between API sources, and their purpose is to connect, submit, and process facts. however, functions such as Object Detection and text Translation characterize AI content parsing and are linked to Azure Cognitive and laptop vision features.

Let’s appear right into a Terraform script example of a totally purchasable Azure service Bus with queue.

This script creates a aid group, a carrier Bus namespace with a common pricing tier, a queue inside the namespace with partitioning enabled, and an authorization rule with hear and send permissions. It also outputs the connection string for the service Bus namespace.

here, we start with a service that offers simple notification logic, which is essential Notification provider (SNS). The SNS is a managed notification provider, with the simple characteristic being an issue-based mostly method, which allows for it to disseminate messages from a single source application to distinctive subscribers. here protocols are supported by way of SNS, enabling more than a few subscribers:

The leading drawback of AWS SNS is that it may possibly not give as a good deal control over message start in comparison to different messaging services, corresponding to AWS SQS. SNS does not guarantee the order of message birth and may convey messages more than as soon as in some situations, which can be troublesome for certain use instances.

SNS is rather relevant for building essential notification architecture. a brilliant illustration of building price range notifications and assigning routine when the price range exceeds limits.

in this structure, the producer sends a message to SNS, and SNS promises that message to all the involved consumers, such as email subscribers, cellular gadgets, or HTTP/S endpoints.

figure 2. AWS finances Notification structure

[Click on the image to view full-size]

The architecture contains right here accessories:

AWS also has a service that offers approach greater alternate options to build experience-pushed architecture - AWS EventBridge. It allows us to improve scalable event-driven functions easily. It offers the capability to create guidelines that healthy routine from a considerable number of AWS features and custom functions, which may then be directed to one or varied aims, together with other AWS capabilities, AWS Lambda services, and SNS subject matters. EventBridge allows us to create customized experience buses that can be used to isolate pursuits and manipulate access to them. EventBridge can be used to construct a large choice of adventure-driven purposes, together with serverless purposes, microservices, and experience-pushed statistics processing pipelines.

Let’s have a look at an instance of EventBridge. beneath is the wise lights system architecture that uses AWS event Bridge as a serverless event bus.

determine three. AWS smart lighting fixtures structure

[Click on the image to view full-size]

The structure comprises right here accessories:

below is the code instance that deploys an EventBridge rule for a smart lighting device that triggers a Lambda records processor.

This code creates an AWS IoT Core rule to forward messages to EventBridge, creates an EventBridge rule to trigger a Lambda function, and offers the Lambda function permission to receive messages from IoT Core.

Azure and Google Cloud have their personal capabilities to build experience-pushed structure. Azure offers adventure Grid. it is a fully managed event routing provider that makes it possible for adventure-primarily based communication between distinct features and applications inside Azure and exterior sources. adventure Grid supports a considerable number of adventure sources, including Azure functions, customized applications, and third-birthday party services. It integrates with numerous Azure components like Blob Storage, Azure functions, event Hubs, and greater. we will see this in right here image.

figure 4. Azure experience Grid Sources and Handlers (source)

[Click on the image to view full-size]

Google Cloud has Eventarc, a "brother" of Azure adventure Grid. Eventarc is a managed event ingestion and start carrier that allows developers to set off serverless functions or purposes in keeping with hobbies from Google Cloud capabilities or third-celebration sources. Eventarc simplifies the configuration and management of experience-driven architectures by abstracting the underlying infrastructure and providing a unified interface for event sources and destinations.

Eventarc can also be used in many situations where we deserve to set off an action in accordance with an experience inside your GCP infrastructure. One is to computer screen your cloud infrastructure in true-time and set off alerts or actions when particular hobbies occur.

for example, you could use Eventarc to computer screen your Google Kubernetes Engine cluster for adjustments in pod popularity or resource utilization and set off signals or autoscaling movements as essential.

figure 5. GKE Cluster Monitoring and management architecture

[Click on the image to view full-size]

deploy event Arc trigger that listens for events from a Prometheus agent in GKE. We should do here steps:

it is additionally worth bringing up that AWS has their edition of managed carrier to construct observability solutions. It’s known as AWS CloudWatch, and it supports monitoring various AWS functions equivalent to EC2, RDS, S3, Lambda, and a lot of others. it may well also video display customized metrics and logs. CloudWatch allows you to set up alarms and notifications.

AWS Kinesis and Azure event Hub are features designed to handle real-time streaming information. They offer the capacity to collect, flow, and analyze statistics in actual-time.

AWS Kinesis offers a number of elements. one of them is the Firehose managed service, which captures and stores actual-time facts for up to 60 seconds. It also helps various information sources like Splunk, S3, RedShift, and Elasticsearch. additionally, Kinesis flow and Analytics will also be used to boost video and audio streaming solutions. for example, you can actually circulate statistics from cameras or cell gadgets to Kinesis and use AWS Rekognition or SageMaker to investigate the flow.

for example, we will installation IP digital camera streaming architecture.

figure 6. AWS Video Streaming with AI Object recognition architecture

[Click on the image to view full-size]

below is a brief instance of the code to install an AWS Kinesis video circulation.

This code creates a brand new Kinesis Video circulation with the name 'my-circulate' and media class 'video/h264'. It then retrieves the ARN of the new circulation and makes use of that ARN to get the signaling channel endpoint. eventually, it prints out the signaling channel endpoint.

Azure has an event Hub carrier. Azure experience Hub is a knowledge streaming platform and adventure ingestion provider that can handle hundreds of thousands of events per 2nd. It offers a tremendously scalable, dispensed platform for ingesting, processing, and storing data from distinct sources like applications, devices, and IoT sensors. adventure Hub will also be integrated with quite a lot of Azure capabilities for records evaluation, together with circulate Analytics, HDInsight, and computing device studying.

whereas both functions deliver capabilities for processing streaming facts, some modifications exist. adventure Hub provides a committed platform for event ingestion. it might combine neatly with other Azure services, whereas Kinesis gives a broader set of features for statistics streaming processing and is additionally appropriate with other AWS services.

another potent and absolutely managed service from Amazon is Managed Streaming for Apache Kafka (Amazon MSK), which makes it effortless to build and run functions that use Apache Kafka as a streaming facts platform. Amazon MSK handles the infrastructure provisioning, configuration, scaling, and upkeep of Apache Kafka clusters, enabling you to focus on our functions. It replicates records throughout varied Availability Zones (AZs) inside a vicinity, guaranteeing high availability and sturdiness. It offers a number of protection points, including encryption at leisure and in transit, integration with AWS identity and entry management (IAM), and VPC connectivity alternatives. Amazon MSK seamlessly integrates with AWS services like AWS Lambda, Amazon Kinesis facts Firehose, and Amazon Managed Streaming for Apache Flink (a circulate processing provider).

this text gives an in depth guide to building adventure-driven architecture the usage of cloud supplies from Azure, AWS, and Google Cloud. mainly, the article focuses on cloud components used in the center-stage architecture, such as standard Queue service (SQS) and easy Notification carrier (SNS) from AWS and Azure Queue and experience Grid from Azure. The article also explores key changes between Azure carrier Bus and AWS MQ, managed messaging services that permit authentic message delivery between functions or features. With these cloud resources, builders can at once take into account the theory of the substances and start building their structure in response to an experience-pushed method.

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