Get Well Prepared for Google Professional Cloud Developer (GCP-PCD) Certification Exam

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2. GCP-PCD Practice Test GCP-PCD is Google Professional Cloud Developer– Certification offered by the Google. Since you want to comprehend the GCP-PCD Question Bank, I am assuming you are already in the manner of preparation for your GCP-PCD Certification Exam. To prepare for the actual exam, all you need is to study the content of this exam questions. You can recognize the weak area with our premium GCP-PCD practice exams and help you to provide more focus on each syllabus topic covered. This method will help you to increase your confidence to pass the Google Professional Cloud Developer certification with a better score. Google Cloud Platform - Professional Cloud Developer (GCP-PCD) 1

3. GCP-PCD Exam Details Exam Name Google Professional Cloud Developer Exam Code GCP-PCD Exam Price $200 USD Duration 240 minutes Number of Questions 50 Passing Score Pass / Fail (Approx 70%) Google Cloud training Google Cloud documentation Google Cloud solutions Recommended Training / Books Schedule Exam PEARSON VUE Sample Questions Google GCP-PCD Sample Questions Recommended Practice Google Cloud Platform - Professional Cloud Developer (GCP-PCD) Practice Test Google Cloud Platform - Professional Cloud Developer (GCP-PCD) 2

4. GCP-PCD Exam Syllabus Section Objectives Designing highly scalable, available, and reliable cloud-native applications Designing performant applications and APIs. Considerations include: - Infrastructure as a Service vs. Container as a Service vs. Platform as a Service (e.g., autoscaling implications) - Portability vs. platform-specific design - Evaluating different services and technologies - Operating system versions and base runtimes of services - Geographic distribution of Google Cloud services - Microservices - Defining a key structure for high write applications using Cloud Storage, Cloud Bigtable, Cloud Spanner, or Cloud SQL - Session management - Deploying and securing an API with cloud endpoints - Loosely coupled applications using asynchronous Cloud Pub/Sub events - Health checks - Google-recommended practices and documentation Designing secure applications. Considerations include: - Applicable regulatory requirements and legislation - Security mechanisms that protect services and resources - Storing and rotating secrets - IAM roles for users/groups/service accounts - HTTPs certificates - Google-recommended practices and documentation Google Cloud Platform - Professional Cloud Developer (GCP-PCD) 3

5. Managing application data. Tasks include: - Defining database schemas for Google-managed databases (e.g., Cloud Datastore, Cloud Spanner, Cloud Bigtable, BigQuery) - Choosing data storage options based on use case considerations, such as: ●Cloud Storage signed URLs for user-uploaded content ●Using Cloud Storage to run a static website ●Structured vs. unstructured data ●ACID transactions vs. analytics processing ●Data volume ●Frequency of data access in Cloud Storage - Working with data ingestion systems (e.g., Cloud Pub/Sub, Storage Transfer Service) - Following Google-recommended practices and documentation Re-architecting applications from local services to Google Cloud Platform. Tasks include: - Using managed services - Using the strangler pattern for migration - Google-recommended practices and documentation Building and Testing Applications Setting up your development environment. Considerations include: Building a continuous integration pipeline. Considerations include: - Emulating GCP services for local application development - Creating GCP projects - Creating a Cloud Source Repository and committing code to it - Creating container images from code - Developing unit tests for all code written - Developing an integration pipeline using services (e.g., Cloud Build, Container Registry) to deploy the application to the target environment (e.g., development, test, staging) - Reviewing test results of continuous integration pipeline Testing. Considerations include: - Performance testing - Integration testing - Load testing Google Cloud Platform - Professional Cloud Developer (GCP-PCD) 4

6. Writing code. Considerations include: - Algorithm design - Modern application patterns - Efficiency - Agile methodology Deploying applications Implementing appropriate deployment strategies based on the target compute environment (Compute Engine, Google Kubernetes Engine, App Engine). Strategies include: Deploying applications and services on Compute Engine. Tasks include: - Blue/green deployments - Traffic-splitting deployments - Rolling deployments - Canary deployments - Launching a compute instance using GCP Console and Cloud SDK (gcloud) (e.g., assign disks, availability policy, SSH keys) - Moving a persistent disk to different VM - Creating an autoscaled managed instance group using an instance template - Generating/uploading a custom SSH key for instances - Configuring a VM for Stackdriver monitoring and logging - Creating an instance with a startup script that installs software - Creating custom metadata tags - Creating a load balancer for Compute Engine instances Deploying applications and services on Google Kubernetes Engine. Tasks include: - Deploying a GKE cluster - Deploying a containerized application to GKE - Configuring GKE application monitoring and logging - Creating a load balancer for GKE instances - Building a container image using Cloud Build Deploying an application to App Engine. Considerations include: Deploying a Cloud Function. Types include: - Scaling configuration - Versions - Traffic splitting - Blue/green deployment - Cloud Functions that are triggered via an event (e.g., Cloud Pub/Sub events, Cloud Storage object change notification events) - Cloud Functions that are invoked via HTTP Google Cloud Platform - Professional Cloud Developer (GCP-PCD) 5

7. Creating data storage resources. Tasks include: - Creating a Cloud Repository - Creating a Cloud SQL instance - Creating composite indexes in Cloud Datastore - Creating BigQuery datasets - Planning and deploying Cloud Spanner - Creating a Cloud Storage bucket - Creating a Cloud Storage bucket and selecting appropriate storage class - Creating a Cloud Pub/Sub topic - Creating an auto mode VPC with subnets - Creating ingress and egress firewall rules for a VPC (e.g., IP subnets, Tags, Service accounts) - Setting up a domain using Cloud DNS Deploying and implementing networking resources. Tasks include: Automating resource provisioning with Deployment Manager Managing Service accounts. Tasks include: - Creating a service account with a minimum number of scopes required - Downloading and using a service account private key file Integrating Google Cloud Platform Services Integrating an application with Data and Storage services. Tasks include: - Enabling BigQuery and setting permissions on a dataset - Writing an SQL query to retrieve data from relational databases - Analyzing data using BigQuery - Fetching data from various databases - Enabling Cloud SQL and configuring an instance - Connecting to a Cloud SQL instance - Enabling Cloud Spanner and configuring an instance - Creating an application that uses Cloud Spanner - Configuring a Cloud Pub/Sub push subscription to call an endpoint - Connecting to and running a Cloud SQL query - Storing and retrieving objects from Google Storage - Publishing and consuming from Data Ingestion sources - Reading and updating an entity in a Cloud Datastore transaction from an application - Using the CLI tools - Provisioning and configuring networks Google Cloud Platform - Professional Cloud Developer (GCP-PCD) 6

8. Integrating an application with compute services. Tasks include: - Implementing service discovery in Google Kubernetes Engine, App Engine, and Compute Engine - Writing an application that publishes/consumes from Cloud Pub/Sub - Reading instance metadata to obtain application configuration - Authenticating users by using Oauth2 Web Flow and Identity Aware Proxy - Using the CLI tools - Configuring compute services network settings (e.g., subnet, firewall ingress/egress, public/private IPs) Integrating Google Cloud APIs with applications. Tasks include: - Enabling a GCP API - Using pre-trained Google ML APIs - Making API calls with a Cloud Client Library, the REST API, or the APIs Explorer, taking into consideration: ●Batching requests ●Restricting return data ●Paginating results ●Caching results - Using service accounts to make Google API calls - Using APIs to read/write to data services (BigQuery, Cloud Spanner) - Using the Cloud SDK to perform basic tasks Managing Application Performance Monitoring Installing the logging and monitoring agent Managing VMs. Tasks include: - Debugging a custom VM image using the serial port - Analyzing a failed Compute Engine VM startup - Sending logs from a VM to Stackdriver Google Cloud Platform - Professional Cloud Developer (GCP-PCD) 7

9. Viewing application performance metrics using Stackdriver. Tasks include: - Creating a monitoring dashboard - Viewing syslogs from a VM - Writing custom metrics and creating metrics from logs - Graphing metrics - Using Stackdriver Debugger - Streaming logs from the GCP Console - Reviewing stack traces for error analysis - Setting up log sinks - Viewing logs in the GCP Console - Profiling performance of request-response - Profiling services - Reviewing application performance using Stackdriver Trace and Stackdriver Logging - Monitoring and profiling a running application - Setting up time checks and other basic alerts - Setting up logging and tracing - Setting up resources monitoring - Troubleshooting network issues - Debugging/tracing cloud apps - Troubleshooting issues with the image/OS - Using documentation, forums and Google support Diagnosing and resolving application performance issues. Tasks include: Google Cloud Platform - Professional Cloud Developer (GCP-PCD) 8

10. GCP-PCD Questions and Answers Set 01. You are building a storage layer for an analytics Hadoop cluster for your company. This cluster will run multiple jobs on a nightly basis, and you need to access the data frequently. You want to use Cloud Storage for this purpose. Which storage option should you choose? a) Multi-regional storage b) Regional storage c) Nearline storage d) Coldline storage Answer: b Google Cloud Platform - Professional Cloud Developer (GCP-PCD) 9

11. 02. Your company plans to expand their analytics use cases. One of the new use cases requires your data analysts to analyze events using SQL on a near real–time basis. You expect rapid growth and want to use managed services as much as possible. What should you do? a) Create a Cloud Pub/Sub topic and a subscription. Stream your events from the source into the Pub/Sub topic. Leverage Cloud Dataflow to ingest these events into BigQuery. b) Create a Cloud Pub/Sub topic and a subscription. Stream your events from the source into the Pub/Sub topic. Leverage Cloud Dataflow to ingest these events into Cloud Storage. c) Create a Kafka instance on a large Compute Engine instance. Stream your events from the source into a Kafka pipeline. Leverage Cloud Dataflow to ingest these events into Cloud Storage. d) Create a Cloud Pub/Sub topic and a subscription. Stream your events from the source into the Pub/Sub topic. Leverage Cloud Dataflow to ingest these events into Cloud Datastore. Answer: a 03. You have a service running on Compute Engine virtual machine instances behind a global load balancer. You need to ensure that when the instance fails, it is recovered. What should you do? a) Set up health checks in the load balancer configuration. b) Deploy a service to the instances to notify you when they fail. c) Use Stackdriver alerting to trigger a workflow to reboot the instance. d) Set up health checks in the managed instance group configuration. Answer: d Google Cloud Platform - Professional Cloud Developer (GCP-PCD) 10

12. 04. Which architecture should HipLocal use for log analysis? a) Use Cloud Spanner to store each event. b) Start storing key metrics in Cloud Memorystore. c) Use Stackdriver Logging with a BigQuery sink. d) Use Stackdriver Logging with a Cloud Storage sink. Answer: c 05. Your application starts on the VM as a systemd service. Your application outputs its log information to stdout. You need to send the application logs to Stackdriver without changing the application. What should you do? a) Review the application logs from the Compute Engine VM Instance activity logs in Stackdriver. b) Review the application logs from the Compute Engine VM Instance data access logs in Stackdriver. c) Install Stackdriver Logging Agent. Review the application logs from the Compute Engine VM Instance syslog logs in Stackdriver. d) Install Stackdriver Logging Agent. Review the application logs from the Compute Engine VM Instance system event logs in Stackdriver. Answer: c Google Cloud Platform - Professional Cloud Developer (GCP-PCD) 11

13. 06. As part of their expansion, HipLocal is creating new projects in order to separate resources. They want to build a system to automate enabling of their APIs. What should they do? a) Copy existing persistent disks to the new project. b) Use the service management API to define a new service. c) Use the service management API to enable the Compute API. d) Use the service management API to enable the Cloud Storage API. Answer: c 07. Your company has a successful multi-player game that has become popular in the US. Now, it wants to expand to other regions. It is launching a new feature that allows users to trade points. This feature will work for users across the globe. Your company’s current MySQL backend is reaching the limit of the Compute Engine instance that hosts the game. Your company wants to migrate to a different database that will provide global consistency and high availability across the regions. Which database should they choose? a) BigQuery b) Cloud Spanner c) Cloud SQL d) Cloud Bigtable Answer: b Google Cloud Platform - Professional Cloud Developer (GCP-PCD) 12

14. 08. You are capturing important audit activity in Stackdriver Logging. You need to read the information from Stackdriver Logging to perform real- time analysis of the logs. You will have multiple processes performing different types of analysis on the logging data. What should you do? a) Read the logs directly from the Stackdriver Logging API. b) Set up a Stackdriver Logging sync to BigQuery, and read the logs from the BigQuery table. c) Set up a Stackdriver Logging sync to Cloud Pub/Sub, and read the logs from a Cloud Pub/Sub topic. d) Set up a Stackdriver Logging sync to Cloud Storage, and read the logs from a Cloud Storage bucket. Answer: c 09. Your organization has grown, and new teams need access to manage network connectivity within and across projects. You are now seeing intermittent timeout errors in your application. You want to find the cause of the problem. What should you do? a) Set up wireshark on each Google Cloud Virtual Machine instance. b) Configure VPC flow logs for each of the subnets in your VPC. c) Review the instance admin activity logs in Stackdriver for the application instances. d) Configure firewall rules logging for each of the firewalls in your VPC. Answer: b Google Cloud Platform - Professional Cloud Developer (GCP-PCD) 13

15. 10. You have an application that accepts inputs from users. The application needs to kick off different background tasks based on these inputs. You want to allow for automated asynchronous execution of these tasks as soon as input is submitted by the user. Which product should you use? a) Cloud Tasks b) Cloud Bigtable c) Cloud Pub/Sub d) Cloud Composer Answer: a Google Cloud Platform - Professional Cloud Developer (GCP-PCD) 14

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