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Security & Identity Fundamentals Kubernetes in the Google Cloud Google Cloud documentation Google Cloud solutions

To become a Google Certified Professional - Cloud Developer, candidates must pass a rigorous exam that consists of multiple-choice and scenario-based questions. Professional-Cloud-Developer Exam is designed to test a candidate's ability to design and develop scalable, secure, and highly available applications on GCP. Google Certified Professional - Cloud Developer certification is ideal for developers who work with GCP on a regular basis and want to demonstrate their expertise in the field. It is also suitable for those who are looking to advance their careers in cloud computing and want to stand out in the job market. With the Google Professional-Cloud-Developer Certification, developers can showcase their skills and knowledge to potential employers and clients, and gain recognition as experts in the field.

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Google Certified Professional - Cloud Developer Sample Questions (Q172-Q177):

NEW QUESTION # 172
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 wants to reduce the number of on-call engineers and eliminate manual scaling.
Which two services should they choose? (Choose two.)

A. Use a large Google Compute Engine cluster for deployments.
B. Use serverless Google Cloud Functions.
C. Use Google Kubernetes Engine for automated deployments.
D. Use Google App Engine services.
E. Use Knative to build and deploy serverless applications.

Answer: B,E

NEW QUESTION # 173
Your code is running on Cloud Functions in projectA . It is supposed to write an object in a Cloud Storage bucket owned by project B.
However, the write call is failing with the error "403 Forbidden".
What should you do to correct the problem?

A. Grant your user account the roles/iam.serviceAccountUser role for the service-PROJECTA@gcf-adminrobot.
iam.gserviceaccount.com service account.
B. Grant your user account the roles/storage.objectCreator role for the Cloud Storage bucket.
C. Enable the Cloud Storage API in project B.
D. Grant the service-PROJECTA@gcf-admin-robot.iam.gserviceaccount.com service account the roles/ storage.objectCreator role for the Cloud Storage bucket.

Answer: A

NEW QUESTION # 174
Your team develops services that run on Google Cloud. You want to process messages sent to a Pub/Sub topic, and then store them. Each message must be processed exactly once to avoid duplication of data and any data conflicts. You need to use the cheapest and most simple solution. What should you do?

A. Process the messages with a Dataproc job, and write the output to storage.
B. Process the messages with a Dataflow streaming pipeline using Apache Beam's PubSubIO package, and write the output to storage.
C. Process the messages with a Cloud Function, and write the results to a BigQuery location where you can run a job to deduplicate the data.
D. Retrieve the messages with a Dataflow streaming pipeline, store them in Cloud Bigtable, and use another Dataflow streaming pipeline to deduplicate messages.

Answer: B

Explanation:
https://cloud.google.com/blog/products/data-analytics/handling-duplicate-data-in-streaming- pipeline-using-pubsub-dataflow Pub/Sub provides each message with a unique message_id, Dataflow uses it to deduplicate messages by default if you use the built-in Apache Beam PubSubIO.

NEW QUESTION # 175
You are developing an application that will store and access sensitive unstructured data objects in a Cloud Storage bucket. To comply with regulatory requirements, you need to ensure that all data objects are available for at least 7 years after their initial creation. Objects created more than
3 years ago are accessed very infrequently (less than once a year). You need to configure object storage while ensuring that storage cost is optimized. What should you do? (Choose two.)

A. Use IAM Conditions to provide access to objects 7 years after the object creation date.
B. Create an object lifecycle policy on the bucket that moves objects from Standard Storage to Archive Storage after 3 years.
C. Implement a Cloud Function that checks the age of each object in the bucket and moves the objects older than 3 years to a second bucket with the Archive Storage class. Use Cloud Scheduler to trigger the Cloud Function on a daily schedule.
D. Enable Object Versioning to prevent objects from being accidentally deleted for 7 years after object creation.
E. Set a retention policy on the bucket with a period of 7 years.

Answer: B,E

Explanation:
https://cloud.google.com/storage/docs/bucket-lock
https://cloud.google.com/storage/docs/lifecycle

NEW QUESTION # 176
You have an application deployed in production. When a new version is deployed, some issues don't arise until the application receives traffic from users in production. You want to reduce both the impact and the number of users affected.
Which deployment strategy should you use?

A. Blue/green deployment
B. Recreate deployment
C. Rolling deployment
D. Canary deployment

Answer: A

NEW QUESTION # 177
......

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