Professional-Cloud-Developer Musterprüfungsfragen & Professional-Cloud-Developer Prüfungsaufgaben

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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Weight	Objectives
Designing highly scalable, secure, and reliable cloud-native applications	32%	- Designing secure applications 1. Applying security best practices and compliance requirements 2. Implementing authentication and authorization mechanisms 3. Securing data in transit and at rest - Designing high-performing applications and APIs 1. Optimizing for latency and throughput 2. Selecting appropriate compute and deployment platforms 3. Designing for high availability and fault tolerance - Designing for observability and monitoring 1. Planning logging, metrics, and tracing strategies 2. Designing for debugging and troubleshooting
Building and testing applications	23%	- Building applications and containers 1. Implementing containerization best practices 2. Using Cloud Build and Artifact Registry 3. Configuring build pipelines and provenance - Setting up development environments 1. Using Cloud SDK, Cloud Code, Cloud Shell, and Cloud Workstations 2. Emulating Google Cloud services locally - Testing applications 1. Using AI-assisted development tools 2. Automating testing in CI/CD workflows 3. Writing unit, integration, and end-to-end tests
Configuring cloud-native applications for deployment	24%	- Deploying applications to Google Kubernetes Engine 1. Configuring scaling, auto-scaling, and updates 2. Managing configurations and secrets 3. Creating and managing workloads and services - Deploying applications to Cloud Run 1. Deploying from source code or containers 2. Integrating with event-driven services 3. Configuring scaling, networking, and security - Deploying to App Engine or Cloud Functions 1. Configuring serverless deployments 2. Managing versions and traffic splitting
Integrating applications with Google Cloud services	21%	- Consuming Google Cloud APIs and services 1. Using client libraries, REST, and gRPC 2. Integrating with AI/ML and generative AI services 3. Enabling and managing APIs - Integrating with data and storage services 1. Working with relational, NoSQL, and in-memory databases 2. Using object storage and file storage solutions 3. Implementing messaging and event streaming - Implementing application performance monitoring 1. Using operations suite tools 2. Instrumenting code for metrics and traces

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Google Certified Professional - Cloud Developer Professional-Cloud-Developer Prüfungsfragen mit Lösungen (Q103-Q108):

103. Frage
You are a developer at a large corporation You manage three Google Kubernetes Engine clusters. Your team's developers need to switch from one cluster to another regularly without losing access to their preferred development tools. You want to configure access to these clusters using the fewest number of steps while following Google-recommended best practices. What should you do?

A. Ask the developers to use Cloud Shell and run gcloud container clusters get-credentials to switch to another cluster.
B. Ask the developers to open three terminals on their workstation and use kubecrt1 config to configure access to each cluster.
C. In a configuration file, define the clusters users, and contexts Email the file to the developers and ask them to use kubect1 config to add cluster, user and context details.
D. Ask the developers to install the gcloud CLI on their workstation and run gcloud container clusters get-credentials to switch to another cluster

Antwort: C

Begründung:
https://kubernetes.io/docs/tasks/access-application-cluster/configure-access-multiple-clusters/

104. Frage
You are developing an application that will be launched on Compute Engine instances into multiple distinct projects, each corresponding to the environments in your software development process (development, QA, staging, and production). The instances in each project have the same application code but a different configuration. During deployment, each instance should receive the application's configuration based on the environment it serves. You want to minimize the number of steps to configure this flow. What should you do?

A. When creating your instances, configure a startup script using the gcloud command to determine the project name that indicates the correct environment.
B. Deploy your chosen deployment tool on an instance in each project. Use a deployment job to retrieve the appropriate configuration file from your version control system, and apply the configuration when deploying the application on each instance.
C. In each project, configure a metadata key "environment" whose value is the environment it serves. Use your deployment tool to query the instance metadata and configure the application based on the "environment" value.
D. During each instance launch, configure an instance custom-metadata key named "environment" whose value is the environment the instance serves. Use your deployment tool to query the instance metadata, and configure the application based on the "environment" value.

Antwort: C

Begründung:
https://cloud.google.com/compute/docs/metadata/setting-custom-metadata#set-custom-project- wide-metadata

105. Frage
For this question refer to the HipLocal case study.
HipLocal wants to reduce the latency of their services for users in global locations. They have created read replicas of their database in locations where their users reside and configured their service to read traffic using those replicas. How should they further reduce latency for all database interactions with the least amount of effort?

A. Migrate the database to Cloud Spanner and use it to serve all global user traffic.
B. Migrate the database to Bigtable and use it to serve all global user traffic.
C. Migrate the database to Firestore in Datastore mode and use it to serve all global user traffic.
D. Migrate the services to Google Kubernetes Engine and use a load balancer service to better scale the application.

Antwort: D

106. Frage
You have a container deployed on Google Kubernetes Engine. The container can sometimes be slow to launch, so you have implemented a liveness probe. You notice that the liveness probe occasionally fails on launch. What should you do?

A. Increase the initial delay for the liveness probe.
B. Add a readiness probe.
C. Increase the CPU limit for the container.
D. Add a startup probe.

Antwort: A

Begründung:
https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-startup-probes/#configure-

107. Frage
Your company has a data warehouse that keeps your application information in BigQuery. The BigQuery data warehouse keeps 2 PBs of user data. 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.)

A. Re-upload your data using to a Cloud Dataflow pipeline by filtering your user records out.
B. Create a Cloud Storage bucket in the EU region to store information for EU users only.
C. Use BigQuery federated queries to query data from Cloud Storage.
D. Create a dataset in the EU region that will keep information about EU users only.
E. Use DML statements in BigQuery to update/delete user records based on their requests.

Antwort: B,E

Begründung:
Explanation/Reference: https://cloud.google.com/solutions/bigquery-data-warehouse

108. Frage
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