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Training for Your Exam
You can prepare for the Google Professional Cloud Security Engineer exam using a ton of different ways. Firstly, you can opt for the official learning path. This track entails a series of intense hands-on lab lessons, in-person classes, and online training among other resources provided by the vendor itself.
Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q48-Q53):
NEW QUESTION # 48
Your company wants to collect and analyze CVE information for packages in container images, and wants to prevent images with known security issues from running in your Google Kubernetes Engine environment. Which two security features does Google recommend including in a container build pipeline?
- A. Network isolation
- B. Deployment policies
- C. Password policies
- D. Vulnerability scanning
Answer: B
Explanation:
A is correct because deployment policies defined in Binary Authorization ensure that only trusted images can be deployed in Google Kubernetes Engine clusters. Binary Authorization can integrate with Container Analysis which scans container images stored in Container Registry for vulnerabilities and stores trusted metadata used in the authorization process.
B is not correct because it doesn't address the use case.
C is correct because vulnerability scanning can be performed by Container Analysis to discover package vulnerability information in container base images and obtain CVE data from respective Linux distributions.
D is not correct because it doesn't address the use case.
https://cloud.google.com/binary-authorization/docs/overview
https://cloud.google.com/container-registry/docs/container-analysis
NEW QUESTION # 49
A company is running their webshop on Google Kubernetes Engine and wants to analyze customer transactions in BigQuery. You need to ensure that no credit card numbers are stored in BigQuery What should you do?
- A. Use the Cloud Data Loss Prevention API to redact related infoTypes before data is ingested into BigQuery.
- B. Enable Cloud Identity-Aware Proxy to filter out credit card numbers before storing the logs in BigQuery.
- C. Leverage Security Command Center to scan for the assets of type Credit Card Number in BigQuery.
- D. Create a BigQuery view with regular expressions matching credit card numbers to query and delete affected rows.
Answer: B
NEW QUESTION # 50
A customer implements Cloud Identity-Aware Proxy for their ERP system hosted on Compute Engine. Their security team wants to add a security layer so that the ERP systems only accept traffic from Cloud Identity-Aware Proxy.
What should the customer do to meet these requirements?
- A. Make sure that the ERP system can validate the x-forwarded-for headers in the HTTP requests.
- B. Make sure that the ERP system can validate the user's unique identifier headers in the HTTP requests.
- C. Make sure that the ERP system can validate the JWT assertion in the HTTP requests.
- D. Make sure that the ERP system can validate the identity headers in the HTTP requests.
Answer: C
NEW QUESTION # 51
In order to meet PCI DSS requirements, a customer wants to ensure that all outbound traffic is authorized.
Which two cloud offerings meet this requirement without additional compensating controls? (Choose two.)
- A. Cloud Functions
- B. Google Kubernetes Engine
- C. Cloud Storage
- D. App Engine
- E. Compute Engine
Answer: D,E
NEW QUESTION # 52
You work for an organization in a regulated industry that has strict data protection requirements. The organization backs up their data in the cloud. To comply with data privacy regulations, this data can only be stored for a specific length of time and must be deleted after this specific period.
You want to automate the compliance with this regulation while minimizing storage costs. What should you do?
- A. Store the data in a Cloud Storage bucket, and configure the bucket's Object Lifecycle Management feature.
- B. Store the data in a BigQuery table, and set the table's expiration time.
- C. Store the data in a persistent disk, and delete the disk at expiration time.
- D. Store the data in a Cloud Bigtable table, and set an expiration time on the column families.
Answer: B
NEW QUESTION # 53
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