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| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Google Cloud Certified Professional - Cloud Developer Exam |
| Exam Number: | Professional-Cloud-Developer |
| Certificate Validity Period: | 2 years |
| Exam Duration: | 120 minutes |
| Exam Format: | Multiple select, Multiple choice |
| Available Languages: | English, Japanese |
| Passing Score: | Not publicly disclosed |
| Real Exam Qty: | 50-60 |
| Exam Price: | $200 USD (plus tax where applicable) |
| Related Certifications: | Google Cloud Certified Associate - Cloud Engineer Google Cloud Certified Professional - Cloud Architect |
| Recommended Training: | Google Cloud Professional Cloud Developer Learning Path Official Exam Guide |
| Exam Registration: | Google Cloud Certification Registration |
| Sample Questions: | Google Professional-Cloud-Developer Sample Questions |
| Exam Way: | Online-proctored (remote) or onsite-proctored at authorized testing centers |
| Pre Condition: | No formal prerequisites; recommended: 3+ years industry experience, 1+ year designing/managing Google Cloud solutions |
| Official Syllabus URL: | https://cloud.google.com/learn/certification/cloud-developer |
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To prepare for the exam, candidates can take advantage of Google's official training resources, including online courses, practice labs, and documentation. Additionally, Google offers a certification handbook that provides an overview of the exam's structure, study tips, and sample questions. Passing the Professional-Cloud-Developer Exam demonstrates a developer's ability to build and deploy robust, scalable, and secure cloud-based applications using Google Cloud Platform, making them a valuable asset to any organization using Google technologies.
NEW QUESTION # 162
You recently developed an application that monitors a large number of stock prices. You need to configure Pub/Sub to receive a high volume messages and update the current stock price in a single large in-memory database The downstream service needs only the most up-to-date prices in the in-memory database to perform stock trading transactions Each message contains three pieces of information
* Stock symbol
* Stock price
* Timestamp for the update
.
How should you set up your Pub/Sub subscription?
Answer: B
NEW QUESTION # 163
You are developing a corporate tool on Compute Engine for the finance department, which needs to authenticate users and verify that they are in the finance department. All company employees use G Suite.
What should you do?
Answer: C
Explanation:
https://cloud.google.com/endpoints/docs/openapi/authenticating-users-google-id
NEW QUESTION # 164
Your company manages an application that captures stock data in an internal database. You need to create an API that provides real-time stock data to users. You want to return stock data to users as quickly as possible, and you want your solution to be highly scalable. What should you do?
Answer: A
Explanation:
Using Memorystore for Redis as a caching layer for frequently accessed stock data allows you to deliver data with minimal latency, which is crucial for real-time applications. Redis is an in- memory data store that provides very fast read and write operations, making it well-suited for scenarios where low latency is essential.
By querying Redis first, you reduce the load on the internal database and speed up response times for popular data. For requests not in the cache, you can fall back to the internal database, ensuring that all data remains accessible without needing to query a potentially slower database for every request. This approach is highly scalable and balances speed with data availability.
NEW QUESTION # 165
You are developing a microservice-based application that will run on Google Kubernetes Engine (GKE).
Some of the services need to access different Google Cloud APIs. How should you set up authentication of these services in the cluster following Google-recommended best practices? (Choose two.)
Answer: B,D
Explanation:
https://cloud.google.com/kubernetes-engine/docs/how-to/workload-identity
NEW QUESTION # 166
Your company has deployed a new API to a Compute Engine instance. During testing, the API is not behaving as expected. You want to monitor the application over 12 hours to diagnose the problem within the application code without redeploying the application. Which tool should you use?
Answer: C
Explanation:
https://cloud.google.com/debugger/docs/using/logpoints
After you have deployed or started your application, you can open Cloud Debugger in the Google Cloud console. Cloud Debugger allows you to inject logging into running services without restarting or interfering with the normal function of the service. This can be useful for debugging production issues without having to add log statements and redeploy.
NEW QUESTION # 167
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