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Google Professional-Cloud-Developer Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Google Certified Professional - Cloud Developer
Exam Number:	Professional-Cloud-Developer
Available Languages:	Japanese, English
Real Exam Qty:	50-60
Related Certifications:	Google Cloud Certified - Professional Cloud Architect Google Cloud Certified - Professional Cloud DevOps Engineer Google Cloud Certified - Associate Cloud Engineer
Certificate Validity Period:	2 years
Exam Price:	$200 USD
Exam Format:	Multiple Select, Multiple Choice
Exam Duration:	120 minutes
Sample Questions:	Google Professional-Cloud-Developer Sample Questions
Exam Way:	Online-proctored or onsite-proctored at a testing center
Pre Condition:	No formal prerequisites. Recommended experience: 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud.
Official Syllabus URL:	https://cloud.google.com/learn/certification/cloud-developer

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The Google Professional-Cloud-Developer Exam is intended for software developers who have experience in designing, developing, and deploying applications on the Google Cloud Platform. Google Certified Professional - Cloud Developer certification exam covers a wide range of topics, including cloud computing concepts, Google Cloud Platform services, development tools and languages, application design and development, and best practices for deploying and managing applications on the cloud.

Google Certified Professional - Cloud Developer Sample Questions (Q295-Q300):

NEW QUESTION # 295
Your operations team has asked you to create a script that lists the Cloud Bigtable, Memorystore, and Cloud SQL databases running within a project. The script should allow users to submit a filter expression to limit the results presented. How should you retrieve the data?

A. Run gcloud bigtable instances list, gcloud redis instances list, and gcloud sql databases list. Use a filter within the application, and then display the results
B. Use the HBase API, Redis API, and MySQL connection to retrieve database lists. Filter the results individually, and then combine them to display the results
C. Use the HBase API, Redis API, and MySQL connection to retrieve database lists. Combine the results, and then apply the filter to display the results
D. Run gcloud bigtable instances list, gcloud redis instances list, and gcloud sql databases list. Use --filter flag with each command, and then display the results

Answer: D

Explanation:
https://cloud.google.com/sdk/gcloud/reference/topic/filters
Most gcloud commands return a list of resources on success. By default they are pretty-printed on the standard output. The --format=NAME[ATTRIBUTES](PROJECTION) and --filter=EXPRESSION flags along with projections can be used to format and change the default output to a more meaningful result. Use the --format flag to change the default output format of a command. For details run $ gcloud topic formats.

NEW QUESTION # 296
Your application requires service accounts to be authenticated to GCP products via credentials stored on its host Compute Engine virtual machine instances. You want to distribute these credentials to the host instances as securely as possible. What should you do?

A. Commit the credential JSON file into your application's source repository, and have your CI/CD process package it with the software that is deployed to the instance.
B. Use HTTP signed URLs to securely provide access to the required resources.
C. Generate a P12 file from the GCP Console after the instance is deployed, and copy the credentials to the host instance before starting the application.
D. Use the instance's service account Application Default Credentials to authenticate to the required resources.

Answer: D

NEW QUESTION # 297
For this question, refer to the HipLocal case study.
A recent security audit discovers that HipLocal's database credentials for their Compute Engine-hosted MySQL databases are stored in plain text on persistent disks. HipLocal needs to reduce the risk of these credentials being stolen. What should they do?

A. Create a service account and download its key. Use the key to authenticate to Cloud Key Management Service (KMS) to obtain the database credentials.
B. Create a service account and grant it the roles/iam.serviceAccountUser role. Impersonate as this account and authenticate using the Cloud SQL Proxy.
C. Grant the roles/secretmanager.secretAccessor role to the Compute Engine service account. Store and access the database credentials with the Secret Manager API.
D. Create a service account and download its key. Use the key to authenticate to Cloud Key Management Service (KMS) to obtain a key used to decrypt the database credentials.

Answer: C

Explanation:
https://cloud.google.com/secret-manager/docs/overview

NEW QUESTION # 298
You migrated your applications to Google Cloud Platform and kept your existing monitoring platform. You now find that your notification system is too slow for time critical problems.
What should you do?

A. Use Stackdriver to capture and alert on logs, then ship them to your existing platform.
B. Migrate some traffic back to your old platform and perform AB testing on the two platforms concurrently.
C. Replace your entire monitoring platform with Stackdriver.
D. Install the Stackdriver agents on your Compute Engine instances.

Answer: D

Explanation:
Reference:
https://cloud.google.com/monitoring/

NEW QUESTION # 299
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?

A. Deploy the website on Cloud Functions as three separate functions.
B. Deploy the website on Cloud Functions and use traffic splitting.
C. Deploy the website on App Engine as three separate services.
D. Deploy the website on App Engine and use traffic splitting.

Answer: D

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

NEW QUESTION # 300
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