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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Objectives
Topic 1: Manage application performance monitoring	- Monitor and troubleshoot applications 1. Optimize application performance 2. Configure logging and tracing 3. Analyze metrics and alerts
Topic 2: Deploy applications	- Deploy applications to Google Cloud 1. Deploy applications to Google Kubernetes Engine 2. Deploy applications using Cloud Run 3. Manage application rollout strategies
Topic 3: Build and test applications	- Manage development environments 1. Perform application testing 2. Implement CI/CD pipelines 3. Build application artifacts
Topic 4: Design scalable, available, and reliable cloud-native applications	- Design highly performant applications and APIs 1. Design resilient and scalable application architectures 2. Choose storage options for application data 3. Design secure applications
Topic 5: Integrate applications with Google Cloud services	- Integrate with data and storage services 1. Use messaging and event-driven services 2. Integrate with Google Cloud APIs 3. Implement authentication and authorization

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Google Certified Professional - Cloud Developer Sample Questions (Q307-Q312):

NEW QUESTION # 307
You are developing an application that consists of several microservices running in a Google Kubernetes Engine cluster. One microservice needs to connect to a third-party database running on-premises. You need to store credentials to the database and ensure that these credentials can be rotated while following security best practices. What should you do?

A. Store the credentials as a Kubernetes Secret, and use the Cloud Key Management Service plugin to handle encryption and decryption.
B. Configure a service mesh to allow or restrict traffic from the Pods in your microservice to the database.
C. Store the credentials in a sidecar container proxy, and use it to connect to the third-party database.
D. Store the credentials in an encrypted volume mount, and associate a Persistent Volume Claim with the client Pod.

Answer: A

Explanation:
Explanation
https://cloud.google.com/kubernetes-engine/docs/how-to/encrypting-secrets By default, Google Kubernetes Engine (GKE) encrypts customer content stored at rest, including Secrets.
GKE handles and manages this default encryption for you without any additional action on your part.
Application-layer secrets encryption provides an additional layer of security for sensitive data, such as Secrets, stored in etcd. Using this functionality, you can use a key managed with Cloud KMS to encrypt data at the application layer. This encryption protects against attackers who gain access to an offline copy of etcd.

NEW QUESTION # 308
Your teammate has asked you to review the code below. Its purpose is to efficiently add a large number of small rows to a BigQuery table.

Which improvement should you suggest your teammate make?

A. Write each row to a Cloud Storage object, then load into BigQuery.
B. Write each row to a Cloud Storage object in parallel, then load into BigQuery.
C. Include multiple rows with each request.
D. Perform the inserts in parallel by creating multiple threads.

Answer: D

NEW QUESTION # 309
For this question, refer to the HipLocal case study.
HipLocal's application uses Cloud Client Libraries to interact with Google Cloud. HipLocal needs to configure authentication and authorization in the Cloud Client Libraries to implement least privileged access for the application. What should they do?

A. Create a service account for the application and for each Google Cloud API used by the application. Export and deploy the private keys used by the application. Use the service account with one Google Cloud API to interact with Google Cloud.
B. Create an API key. Use the API key to interact with Google Cloud.
C. Use the default compute service account to interact with Google Cloud.
D. Create a service account for the application. Export and deploy the private key for the application. Use the service account to interact with Google Cloud.

Answer: B

NEW QUESTION # 310
Your API backend is running on multiple cloud providers. You want to generate reports for the network latency of your API.
Which two steps should you take? (Choose two.)

A. Use Zipkin collector to gather data.
B. Use Stackdriver Trace to generate reports.
C. Use Stackdriver Profiler to generate report.
D. Use Stackdriver Debugger to generate report.
E. Use Fluentd agent to gather data.

Answer: B,C

Explanation:
Explanation/Reference:

NEW QUESTION # 311
Your team develops services that run on Google Cloud. You need to build a data processing service and will use Cloud Functions. The data to be processed by the function is sensitive. You need to ensure that invocations can only happen from authorized services and follow Google- recommended best practices for securing functions. What should you do?

A. Enable Identity-Aware Proxy in your project. Secure function access using its permissions.
B. Create a service account with the Cloud Functions Invoker role. Use that service account to invoke the function.
C. Create an OAuth 2.0 client ID for your calling service in the same project as the function you want to secure. Use those credentials to invoke the function.
D. Create a service account with the Cloud Functions Viewer role. Use that service account to invoke the function.

Answer: B

Explanation:
https://cloud.google.com/functions/docs/securing#authentication
https://cloud.google.com/functions/docs/reference/iam/roles#cloud-functions-roles

NEW QUESTION # 312
......

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