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Requirements
This certification exam is intended for the specialists seeking to establish their careers as Google Cloud Platform Security Engineers. While there are no specific prerequisites to earning the Google Professional Cloud Security Engineer certificate, except for passing the qualifying test, it is worth mentioning that some practical experience is crucial to your success. The candidates are recommended to have three or more years of industry experience, including one or more years of experience in designing and managing the solutions based on Google Cloud Platform.
Ensure Data Protection
- Data Loss Prevention with DLP API: This domain measures the examinees’ skills and competence in the configuration of tokenization, identification, and redaction of PII, restriction of access to DLP datasets, and configuration of format preservation substitution;
- Management of Encryption at Rest: This part requires the candidates’ knowledge of the use cases for customer-supplied encryption keys, default encryption, and customer-managed encryption keys. It also validates their competence in the creation and management of encryption keys for CSEK and CMEK. In addition, the applicants should have an understanding of envelope encryption, enclave computing, and application secrets management.
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Prerequisites
This Google certification has no official requirements, but it is recommended that the students have at least three years of industry experience and at least one year of work experience in the design and management of solutions with the use of GCP. They should also develop the skills and knowledge of the exam topics before attempting the test.
Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q136-Q141):
NEW QUESTION # 136
You are the project owner for a regulated workload that runs in a project you own and manage as an Identity and Access Management (IAM) admin. For an upcoming audit, you need to provide access reviews evidence.
Which tool should you use?
- A. Policy Simulator
- B. IAM Recommender
- C. Policy Troubleshooter
- D. Policy Analyzer
Answer: D
Explanation:
Explanation
https://cloud.google.com/policy-intelligence/docs/policy-analyzer-overview Policy Analyzer lets you find out which principals (for example, users, service accounts, groups, and domains) have what access to which Google Cloud resources based on your IAM allow policies.
NEW QUESTION # 137
You need to perform a vulnerability scan for an App Engine app using Cloud Security Scanner.
Upon completion of the scan, the report is not producing the expected number of webpage results. The pages in the app with mouseover menus are missing from the report. Which action should you take to make sure the scan completes and captures the menu?
- A. Adjust the Google account on which the scan is running.
- B. Modify the scan schedule to return new results.
- C. Verify the Excluded URLs.
- D. Change the scan to include additional Starting URLs.
Answer: D
Explanation:
A is not correct because the missing webpages in mouseover menu are unlikely to be explicitly excluded since they're expected to be scanned.
B is not correct because changing the scan schedule will not result in scanning of more webpages.
C is correct because Cloud Security Scanner may not be able to navigate through complex JavaScript such as a mouseover-driven multilevel menu. Specifying additional starting URLs can increase scan coverage in this scenario.
D is not correct because changing the Google account will not result in scanning of more webpages.
https://cloud.google.com/security-scanner/docs/scanning
NEW QUESTION # 138
As adoption of the Cloud Data Loss Prevention (DLP) API grows within the company, you need to optimize usage to reduce cost. DLP target data is stored in Cloud Storage and BigQuery. The location and region are identified as a suffix in the resource name.
Which cost reduction options should you recommend?
- A. Set appropriate rowsLimit value on BigQuery data hosted outside the US, and minimize transformation units on multiregional Cloud Storage buckets.
- B. Use FindingLimits and TimespanContfig to sample data and minimize transformation units.
- C. Set appropriate rowsLimit value on BigQuery data hosted outside the US and set appropriate bytesLimitPerFile value on multiregional Cloud Storage buckets.
- D. Use rowsLimit and bytesLimitPerFile to sample data and use CloudStorageRegexFileSet to limit scans.
Answer: D
Explanation:
Explanation
https://cloud.google.com/dlp/docs/inspecting-storage#sampling
https://cloud.google.com/dlp/docs/best-practices-costs#limit_scans_of_files_in_to_only_relevant_files
NEW QUESTION # 139
Last week, a company deployed a new App Engine application that writes logs to BigQuery. No other workloads are running in the project. You need to validate that all data written to BigQuery was done using the App Engine Default Service Account.
What should you do?
- A. 1. Use StackDriver Logging and filter on BigQuery Insert Jobs.
2.Click on the email address in line with the App Engine Default Service Account in the authentication field.
3.Click Hide Matching Entries.
4.Make sure the resulting list is empty. - B. 1. In BigQuery, select the related dataset.
2. Make sure the App Engine Default Service Account is the only account that can write to the dataset. - C. 1. Go to the IAM section on the project.
2. Validate that the App Engine Default Service Account is the only account that has a role that can write to BigQuery. - D. 1. Use StackDriver Logging and filter on BigQuery Insert Jobs.
2.Click on the email address in line with the App Engine Default Service Account in the authentication field.
3.Click Show Matching Entries.
4.Make sure the resulting list is empty.
Answer: A
NEW QUESTION # 140
Your company runs a website that will store PII on Google Cloud Platform. To comply with data privacy regulations, this data can only be stored for a specific amount of time and must be fully deleted after this specific period. Data that has not yet reached the time period should not be deleted. You want to automate the process of complying with this regulation.
What should you do?
- A. Store the data in a single BigTable table and set an expiration time on the column families.
- B. Store the data in a single BigQuery table and set the appropriate table expiration time.
- C. Store the data in a single Cloud Storage bucket and configure the bucket's Time to Live.
- D. Store the data in a single Persistent Disk, and delete the disk at expiration time.
Answer: B
NEW QUESTION # 141
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