Professional-Cloud-Developer PDF Dumps Aug 24, 2022 Recently Updated Questions [Q78-Q98]

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Professional-Cloud-Developer PDF Dumps | Aug 24, 2022 Recently Updated Questions

Professional-Cloud-Developer Exam Questions – Valid Professional-Cloud-Developer Dumps Pdf

How much Google Professional Cloud Developer Exam cost

Google Professional Cloud Developer exam cost is $120 USD(40% discount on retail price of $200 USD).

Topics of Google Professional Cloud Developer Exam

Candidates must know the exam topics before they start of preparation.
because it will really help them in hitting the core.
Our Google Professional Cloud Developer Dumps will include the following topics:

1. Designing highly scalable, available, and reliable cloud-native applications

Designing high-performing applications and APIs

  • Evaluating different services and technologies
  • Caching solutions
  • Geographic distribution of Google Cloud services (e.g., latency, regional services, zonal services)
  • Google-recommended practices and documentation
  • Deploying and securing API services
  • Scaling velocity characteristics/tradeoffs of IaaS (infrastructure as a service) vs. CaaS (container as a service) vs. PaaS (platform as a service)
  • Loosely coupled applications using asynchronous Cloud Pub/Sub events
  • Defining a key structure for high-write applications using Cloud Storage, Cloud Bigtable, Cloud Spanner, or Cloud SQL
  • Microservices
  • Graceful shutdown on platform termination

Designing secure applications

  • Implementing requirements that are relevant for applicable regulations (e.g., data wipeout)
  • Securing service-to-service communications (e.g., service mesh, Kubernetes network policies, and Kubernetes namespaces)
  • Authenticating to Google services (e.g., application default credentials, JWT, OAuth 2.0)
  • Security mechanisms that secure/scan application binaries and manifests
  • Google-recommended practices and documentation
  • Certificate-based authentication (e.g., SSL, mTLS)
  • IAM roles for users/groups/service accounts

Managing application data

  • Choosing data storage options based on use case considerations, such as:
  • Strong vs. eventual consistency
  • Structured vs. unstructured data
  • Following Google-recommended practices and documentation
  • Defining database schemas for Google-managed databases (e.g., Cloud Firestore, Cloud Spanner, Cloud Bigtable, Cloud SQL)
  • Data volume

Refactoring applications to migrate to Google Cloud

  • Migrating a monolith to microservices
  • Google-recommended practices and documentation
  • Using managed services

2 Building and Testing Applications

Setting up your local development environment

  • Emulating Google Cloud services for local application development
  • Creating Google Cloud projects

Writing code

  • Efficiency
  • Modern application patterns
  • Agile software development
  • Algorithm design
  • Unit testing

Testing

  • Performance testing
  • Load testing
  • Integration testing

Building

  • Developing a continuous integration pipeline using services (e.g., Cloud Build, Container Registry) that construct deployment artifacts
  • Creating container images from code
  • Reviewing and improving continuous integration pipeline efficacy
  • Creating a Cloud Source Repository and committing code to it

3 Deploying applications

Recommend appropriate deployment strategies for the target compute environment (Compute Engine, Google Kubernetes Engine). Strategies include:

  • Blue/green deployments
  • Traffic-splitting deployments
  • Canary deployments
  • Rolling deployments

Deploying applications and services on Compute Engine

  • Managing Compute Engine VM images and binaries
  • Installing an application into a VM
  • Modifying the VM service account
  • Manually updating dependencies on a VM
  • Exporting application logs and metrics

Deploying applications and services to Google Kubernetes Engine (GKE)

  • Define deployments, services, and pod configurations
  • Managing container lifecycle
  • Managing Kubernetes RBAC and Google Cloud IAM relationship
  • Deploying a containerized application to GKE
  • Building a container image using Cloud Build
  • Configuring application accessibility to user traffic and other services

Deploying a Cloud Function

  • Cloud Functions that are invoked via HTTP
  • Securing Cloud Functions
  • Cloud Functions that are triggered via an event (e.g., Cloud Pub/Sub events, Cloud Storage object change notification events)

Using service accounts

  • Creating a service account according to the principle of least privilege
  • Downloading and using a service account private key file

4 Integrating Google Cloud Platform Services

Integrating an application with data and storage services

  • Connecting to a data store (e.g., Cloud SQL, Cloud Spanner, Cloud Firestore, Cloud Bigtable)
  • Read/write data to/from various databases (e.g., SQL, JDBC)
  • Using the command-line interface (CLI), Google Cloud Console, and Cloud Shell tools
  • Writing an application that publishes/consumes data asynchronously (e.g., from Cloud Pub/Sub)
  • Storing and retrieving objects from Cloud Storage

Integrating an application with compute services

  • Authenticating users by using OAuth2.0 Web Flow and Identity Aware Proxy
  • Implementing service discovery in Google Kubernetes Engine and Compute Engine
  • Using the command-line interface (CLI), Google Cloud Console, and Cloud Shell tools
  • Reading instance metadata to obtain application configuration

Integrating Google Cloud APIs with applications

  • Error handling (e.g., exponential backoff)
  • Using service accounts to make Google API calls
  • Restricting return data
  • Caching results
  • Enabling a Google Cloud API
  • Paginating results
  • Making API calls with a Cloud Client Library, the REST API, or the APIs Explorer, taking into consideration:

5 Managing Application Performance Monitoring

Managing Compute Engine VMs

  • Analyzing logs
  • Debugging a custom VM image using the serial port
  • Sending logs from a VM to Cloud Monitoring

Managing Google Kubernetes Engine workloads

  • Analyzing container lifecycle events (e.g., CrashLoopBackOff, ImagePullErr)
  • Configuring workload autoscaling
  • Analyzing logs
  • Using external metrics and corresponding alerts
  • Configuring logging and monitoring

Troubleshooting application performance

  • Viewing logs in the Google Cloud Console
  • Using documentation, forums, and Google support
  • Profiling services
  • Graphing metrics
  • Profiling performance of request-response
  • Using Cloud Debugger
  • Writing custom metrics and creating metrics from logs
  • Monitoring and profiling a running application
  • Reviewing application performance (e.g., Cloud Trace, Prometheus, OpenCensus)

 

NO.78 HipLocal wants to reduce the number of on-call engineers and eliminate manual scaling.
Which two services should they choose? (Choose two.)

 
 
 
 
 

NO.79 Case study
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
Company Overview
HipLocal is a community application designed to facilitate communication between people in close proximity. It is used for event planning and organizing sporting events, and for businesses to connect with their local communities. HipLocal launched recently in a few neighborhoods in Dallas and is rapidly growing into a global phenomenon. Its unique style of hyper-local community communication and business outreach is in demand around the world.
Executive Statement
We are the number one local community app; it’s time to take our local community services global. Our venture capital investors want to see rapid growth and the same great experience for new local and virtual communities that come online, whether their members are 10 or 10000 miles away from each other.
Solution Concept
HipLocal wants to expand their existing service, with updated functionality, in new regions to better serve their global customers. They want to hire and train a new team to support these regions in their time zones. They will need to ensure that the application scales smoothly and provides clear uptime data.
Existing Technical Environment
HipLocal’s environment is a mix of on-premises hardware and infrastructure running in Google Cloud Platform.
The HipLocal team understands their application well, but has limited experience in global scale applications.
Their existing technical environment is as follows:
* Existing APIs run on Compute Engine virtual machine instances hosted in GCP.
* State is stored in a single instance MySQL database in GCP.
* Data is exported to an on-premises Teradata/Vertica data warehouse.
* Data analytics is performed in an on-premises Hadoop environment.
* The application has no logging.
* There are basic indicators of uptime; alerts are frequently fired when the APIs are unresponsive.
Business Requirements
HipLocal’s investors want to expand their footprint and support the increase in demand they are seeing. Their requirements are:
* Expand availability of the application to new regions.
* Increase the number of concurrent users that can be supported.
* Ensure a consistent experience for users when they travel to different regions.
* Obtain user activity metrics to better understand how to monetize their product.
* Ensure compliance with regulations in the new regions (for example, GDPR).
* Reduce infrastructure management time and cost.
* Adopt the Google-recommended practices for cloud computing.
Technical Requirements
* The application and backend must provide usage metrics and monitoring.
* APIs require strong authentication and authorization.
* Logging must be increased, and data should be stored in a cloud analytics platform.
* Move to serverless architecture to facilitate elastic scaling.
* Provide authorized access to internal apps in a secure manner.
Which service should HipLocal use to enable access to internal apps?

 
 
 
 

NO.80 In order for HipLocal to store application state and meet their stated business requirements, which database service should they migrate to?

 
 
 
 

NO.81 Your team is developing a new application using a PostgreSQL database and Cloud Run. You are responsible for ensuring that all traffic is kept private on Google Cloud. You want to use managed services and follow Google-recommended best practices. What should you do?

 
 
 
 

NO.82 Which of the following statements empathize with the customer or helps resolve a conflict? (Choose three.)

 
 
 
 
 
 
 

NO.83 Case Study
Company Overview
HipLocal is a community application designed to facilitate communication between people in close proximity. It is used for event planning and organizing sporting events, and for businesses to connect with their local communities. HipLocal launched recently in a few neighborhoods in Dallas and is rapidly growing into a global phenomenon. Its unique style of hyper-local community communication and business outreach is in demand around the world.
Executive Statement
We are the number one local community app; it’s time to take our local community services global. Our venture capital investors want to see rapid growth and the same great experience for new local and virtual communities that come online, whether their members are 10 or 10000 miles away from each other.
Solution Concept
HipLocal wants to expand their existing service, with updated functionality, in new regions to better serve their global customers. They want to hire and train a new team to support these regions in their time zones. They will need to ensure that the application scales smoothly and provides clear uptime data.
Existing Technical Environment
HipLocal’s environment is a mix of on-premises hardware and infrastructure running in Google Cloud Platform.
The HipLocal team understands their application well, but has limited experience in global scale applications.
Their existing technical environment is as follows:
* Existing APIs run on Compute Engine virtual machine instances hosted in GCP.
* State is stored in a single instance MySQL database in GCP.
* Data is exported to an on-premises Teradata/Vertica data warehouse.
* Data analytics is performed in an on-premises Hadoop environment.
* The application has no logging.
* There are basic indicators of uptime; alerts are frequently fired when the APIs are unresponsive.
Business Requirements
HipLocal’s investors want to expand their footprint and support the increase in demand they are seeing. Their requirements are:
* Expand availability of the application to new regions.
* Increase the number of concurrent users that can be supported.
* Ensure a consistent experience for users when they travel to different regions.
* Obtain user activity metrics to better understand how to monetize their product.
* Ensure compliance with regulations in the new regions (for example, GDPR).
* Reduce infrastructure management time and cost.
* Adopt the Google-recommended practices for cloud computing.
Technical Requirements
* The application and backend must provide usage metrics and monitoring.
* APIs require strong authentication and authorization.
* Logging must be increased, and data should be stored in a cloud analytics platform.
* Move to serverless architecture to facilitate elastic scaling.
* Provide authorized access to internal apps in a secure manner.
HipLocal wants to reduce the number of on-call engineers and eliminate manual scaling.
Which two services should they choose? (Choose two.)

 
 
 
 
 

NO.84 HipLocal’s.net-based auth service fails under intermittent load.
What should they do?

 
 
 
 

NO.85 HipLocal wants to improve the resilience of their MySQL deployment, while also meeting their business and technical requirements.
Which configuration should they choose?

 
 
 
 

NO.86 You are designing a resource-sharing policy for applications used by different teams in a Google Kubernetes Engine cluster. You need to ensure that all applications can access the resources needed to run. What should you do? (Choose two.)

 
 
 
 
 

NO.87 Which of the following is an ESD precaution according to Apple standards?

 
 
 
 

NO.88 Your application is logging to Stackdriver. You want to get the count of all requests on all /api/alpha/* endpoints.
What should you do?

 
 
 
 

NO.89 Your service adds text to images that it reads from Cloud Storage. During busy times of the year, requests to Cloud Storage fail with an HTTP 429 “Too Many Requests” status code.
How should you handle this error?

 
 
 
 

NO.90 Which of the following customer statements would alert you to a safety issue? (Choose two.)

 
 
 
 
 
 

NO.91 You are using Cloud Build to build a Docker image. You need to modify the build to execute unit and run integration tests. When there is a failure, you want the build history to clearly display the stage at which the build failed.
What should you do?

 
 
 
 

NO.92 You are deploying a single website on App Engine that needs to be accessible via the URL http://www.altostrat.com/. What should you do?

 
 
 
 

NO.93 You are developing an ecommerce web application that uses App Engine standard environment and Memorystore for Redis. When a user logs into the app, the application caches the user’s information (e.g., session, name, address, preferences), which is stored for quick retrieval during checkout.
While testing your application in a browser, you get a 502 Bad Gateway error. You have determined that the application is not connecting to Memorystore. What is the reason for this error?

 
 
 
 

NO.94 You are load testing your server application. During the first 30 seconds, you observe that a previously inactive Cloud Storage bucket is now servicing 2000 write requests per second and 7500 read requests per second.
Your application is now receiving intermittent 5xx and 429 HTTP responses from the Cloud Storage JSON API as the demand escalates. You want to decrease the failed responses from the Cloud Storage API.
What should you do?

 
 
 
 

NO.95 A computer service technician says, “I don’t use ESD precautions and have never had a problem.” Which of the following is the correct response to this statement?

 
 
 
 

NO.96 Case study
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
Company Overview
HipLocal is a community application designed to facilitate communication between people in close proximity. It is used for event planning and organizing sporting events, and for businesses to connect with their local communities. HipLocal launched recently in a few neighborhoods in Dallas and is rapidly growing into a global phenomenon. Its unique style of hyper-local community communication and business outreach is in demand around the world.
Executive Statement
We are the number one local community app; it’s time to take our local community services global. Our venture capital investors want to see rapid growth and the same great experience for new local and virtual communities that come online, whether their members are 10 or 10000 miles away from each other.
Solution Concept
HipLocal wants to expand their existing service, with updated functionality, in new regions to better serve their global customers. They want to hire and train a new team to support these regions in their time zones. They will need to ensure that the application scales smoothly and provides clear uptime data.
Existing Technical Environment
HipLocal’s environment is a mix of on-premises hardware and infrastructure running in Google Cloud Platform.
The HipLocal team understands their application well, but has limited experience in global scale applications.
Their existing technical environment is as follows:
* Existing APIs run on Compute Engine virtual machine instances hosted in GCP.
* State is stored in a single instance MySQL database in GCP.
* Data is exported to an on-premises Teradata/Vertica data warehouse.
* Data analytics is performed in an on-premises Hadoop environment.
* The application has no logging.
* There are basic indicators of uptime; alerts are frequently fired when the APIs are unresponsive.
Business Requirements
HipLocal’s investors want to expand their footprint and support the increase in demand they are seeing. Their requirements are:
* Expand availability of the application to new regions.
* Increase the number of concurrent users that can be supported.
* Ensure a consistent experience for users when they travel to different regions.
* Obtain user activity metrics to better understand how to monetize their product.
* Ensure compliance with regulations in the new regions (for example, GDPR).
* Reduce infrastructure management time and cost.
* Adopt the Google-recommended practices for cloud computing.
Technical Requirements
* The application and backend must provide usage metrics and monitoring.
* APIs require strong authentication and authorization.
* Logging must be increased, and data should be stored in a cloud analytics platform.
* Move to serverless architecture to facilitate elastic scaling.
* Provide authorized access to internal apps in a secure manner.
HipLocal’s data science team wants to analyze user reviews.
How should they prepare the data?

 
 
 
 

NO.97 You migrated some of your applications to Google Cloud. You are using a legacy monitoring platform deployed on-premises for both on-premises and cloud-deployed applications. You discover that your notification system is responding slowly to time-critical problems in the cloud applications. What should you do?

 
 
 
 

NO.98 Your application takes an input from a user and publishes it to the user’s contacts. This input is stored in a table in Cloud Spanner. Your application is more sensitive to latency and less sensitive to consistency.
How should you perform reads from Cloud Spanner for this application?

 
 
 
 

How to book Google Professional Cloud Developer Exams

The registration for the Google Professional Cloud Developer Exam follows the steps given below.

  • Step 1: Visit the Google Cloud Webassessor Website
  • Step 2: Sign in or sign up to your Google Cloud Webassessor account
  • Step 3: Search for the exam name Google Professional Cloud Developer
  • Step 4: Take the date of the exam, choose exam center and make further payment using payment method like credit/debit etc.

 

Professional-Cloud-Developer dumps Sure Practice with 140 Questions: https://www.dumpstorrent.com/Professional-Cloud-Developer-exam-dumps-torrent.html

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