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Get Latest Dec-2022 Conduct effective penetration tests using PrepAwayExam Professional-Cloud-Developer [Q48-Q63]

Get Latest Dec-2022 Conduct effective penetration tests using PrepAwayExam Professional-Cloud-Developer [Q48-Q63]

December 17, 2022 adminProfessional-Cloud-Developer, Googlenew Professional-Cloud-Developer practice test online, Professional-Cloud-Developer exam simulator online, Professional-Cloud-Developer latest associate level test, Professional-Cloud-Developer latest exam collection file, Professional-Cloud-Developer test certification cost, Professional-Cloud-Developer valid dumps pptLeave a Comment on Get Latest Dec-2022 Conduct effective penetration tests using PrepAwayExam Professional-Cloud-Developer [Q48-Q63]

Get Latest [Dec-2022] Conduct effective penetration tests using PrepAwayExam Professional-Cloud-Developer

Penetration testers simulate Professional-Cloud-Developer exam PDF

Q48. Your company has a data warehouse that keeps your application information in BigQuery. The BigQuery data warehouse keeps 2 PBs of user dat a. Recently, your company expanded your user base to include EU users and needs to comply with these requirements:
Your company must be able to delete all user account information upon user request.
All EU user data must be stored in a single region specifically for EU users.
Which two actions should you take? (Choose two.)

 
 
 
 
 

Q49. Your website is deployed on Compute Engine. Your marketing team wants to test conversion rates between 3 different website designs.
Which approach should you use?

 
 
 
 
Explanation/Reference: https://cloud.google.com/appengine/docs/standard/python/splitting-traffic

Q50. You have an application controlled by a managed instance group. When you deploy a new version of the application, costs should be minimized and the number of instances should not increase. You want to ensure that, when each new instance is created, the deployment only continues if the new instance is healthy. What should you do?

 
 
 
 
Reference:
https://cloud.google.com/compute/docs/instance-groups/rolling-out-updates-to-managed-instance-groups

Q51. You need to migrate an internal file upload API with an enforced 500-MB file size limit to App Engine.
What should you do?

 
 
 
 
Explanation/Reference:
Reference: https://wiki.christophchamp.com/index.php?title=Google_Cloud_Platform

Q52. Your data is stored in Cloud Storage buckets. Fellow developers have reported that data downloaded from Cloud Storage is resulting in slow API performance. You want to research the issue to provide details to the GCP support team.
Which command should you run?

 
 
 
 
Explanation/Reference: https://groups.google.com/forum/#!topic/gce-discussion/xBl9Jq5HDsY

Q53. Your application is running in multiple Google Kubernetes Engine clusters. It is managed by a Deployment in each cluster. The Deployment has created multiple replicas of your Pod in each cluster. You want to view the logs sent to stdout for all of the replicas in your Deployment in all clusters.
Which command should you use?

 
 
 
 

Q54. Technician Tommy is replacing a logic board on a Mac mini. Which of the following should he hold when handling the logic board?

 
 
 
 
Explanation/Reference: https://www.ifixit.com/Guide/Mac+mini+Late+2014+Logic+Board+Replacement/33077

Q55. You want to re-architect a monolithic application so that it follows a microservices model. You want to accomplish this efficiently while minimizing the impact of this change to the business.
Which approach should you take?

 
 
 
 
Explanation/Reference: https://cloud.google.com/solutions/migrating-a-monolithic-app-to-microservices-gke

Q56. 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 improve the resilience of their MySQL deployment, while also meeting their business and technical requirements.
Which configuration should they choose?

 
 
 
 

Q57. Your application is running on Compute Engine and is showing sustained failures for a small number of requests. You have narrowed the cause down to a single Compute Engine instance, but the instance is unresponsive to SSH.
What should you do next?

 
 
 
 

Q58. You want to create “fully baked” or “golden” Compute Engine images for your application. You need to bootstrap your application to connect to the appropriate database according to the environment the application is running on (test, staging, production). What should you do?

 
 
 
 

Q59. You are designing a schema for a table that will be moved from MySQL to Cloud Bigtable. The MySQL table is as follows:

How should you design a row key for Cloud Bigtable for this table?

 
 
 
 

Q60. What requirements are needed for iCloud to automatically back up an iOS device each day? (Choose two.)

 
 
 
 
 
Explanation/Reference:
Reference: https://support.apple.com/en-us/HT203977

Q61. Elizabeth would rather not answer phone calls using her iMac. Where in macOS can Elizabeth turn off iPhone Cellular Calls?

 
 
 
 
Explanation/Reference: https://discussions.apple.com/thread/6836476

Q62. You are running an application on App Engine that you inherited. You want to find out whether the application is using insecure binaries or is vulnerable to XSS attacks. Which service should you use?

 
 
 
 
Reference:
https://cloud.google.com/security-scanner

Q63. You recently developed a new service on Cloud Run. The new service authenticates using a custom service and then writes transactional information to a Cloud Spanner database. You need to verify that your application can support up to 5,000 read and 1,000 write transactions per second while identifying any bottlenecks that occur. Your test infrastructure must be able to autoscale. What should you do?

 
 
 
 
https://cloud.google.com/architecture/distributed-load-testing-using-gke

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