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Google Professional-Cloud-Security-Engineer Exam Syllabus Topics:
| Section | Objectives |
|---|
| Configure access within a cloud solution environment | - Identity and Access Management (IAM)
- 1. Implement least privilege access
- 2. Manage IAM roles and permissions
- 3. Service accounts and workload identity
|
| Configure network security | - Google Cloud network security controls
- 1. VPC firewall rules
- 2. Private Google Access and restricted services
- 3. Cloud Armor and DDoS protection
|
| Manage operations within a cloud security environment | - Security monitoring and operations
- 1. Incident response and alerting
- 2. Security Command Center usage
- 3. Logging and monitoring with Cloud Logging
|
| Ensure data protection | - Encryption and key management
- 1. Cloud KMS and key lifecycle management
- 2. Customer-managed encryption keys (CMEK)
- 3. Data loss prevention (DLP) concepts
|
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Google Cloud Certified - Professional Cloud Security Engineer Exam 認定 Professional-Cloud-Security-Engineer 試験問題 (Q83-Q88):
質問 # 83
Your company is deploying their applications on Google Kubernetes Engine. You want to follow Google-recommended practices. What should you do to ensure that the container images used for new deployments contain the latest security patches?
- A. Use Google-managed base images for all containers.
- B. Use an update script as part of every container image startup.
- C. Use exclusively private images in Container Registry.
- D. Use Container Analysis to detect vulnerabilities in images.
正解:A
解説:
A is correct because Managed base images are base container images that are automatically patched by Google for security vulnerabilities, using the most recent patches available from the project upstream (for example, GitHub).
B is not correct because Container Analysis does not patch the images.
C is not correct because while an update script may help patch on startup, this will significantly increase the amount of time it takes for the instance to become ready for serving workloads.
D is not correct because private images also go out of date and need to be patched manually by the customer.
https://cloud.google.com/container-registry/docs/managed-base-images
質問 # 84
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 Show Matching Entries.4.
Make sure the resulting list is empty. - B. 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.
- C. 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. - D. 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.
正解:C
解説:
To validate that all data written to BigQuery was done using the App Engine Default Service Account, you can use StackDriver Logging (now known as Cloud Logging) to filter and inspect the logs for BigQuery insert jobs. By hiding the entries matching the App Engine Default Service Account, you can ensure that no other service account has written to BigQuery if the resulting list is empty.
Steps:
* Open Cloud Logging: Navigate to Cloud Logging in the Google Cloud Console.
* Filter Logs: Apply a filter to display logs for BigQuery insert jobs.
* Inspect Entries: Click on the email address that corresponds to the App Engine Default Service Account in the authentication field.
* Hide Matching Entries: Select the option to hide matching entries.
* Validate: Check if the resulting list is empty, confirming that no other service account has performed write operations to BigQuery.
References:
Google Cloud Logging
Monitoring BigQuery logs
質問 # 85
A company is backing up application logs to a Cloud Storage bucket shared with both analysts and the administrator. Analysts should only have access to logs that do not contain any personally identifiable information (PII). Log files containing PII should be stored in another bucket that is only accessible by the administrator.
What should you do?
- A. On the bucket shared with both the analysts and the administrator, configure Object Lifecycle Management to delete objects that contain any PII.
- B. On the bucket shared with both the analysts and the administrator, configure a Cloud Storage Trigger that is only triggered when PII data is uploaded. Use Cloud Functions to capture the trigger and delete such files.
- C. Upload the logs to both the shared bucket and the bucket only accessible by the administrator.
Create a job trigger using the Cloud Data Loss Prevention API. Configure the trigger to delete any files from the shared bucket that contain PII. - D. Use Cloud Pub/Sub and Cloud Functions to trigger a Data Loss Prevention scan every time a file is uploaded to the shared bucket. If the scan detects PII, have the function move into a Cloud Storage bucket only accessible by the administrator.
正解:A
質問 # 86
You have numerous private virtual machines on Google Cloud. You occasionally need to manage the servers through Secure Socket Shell (SSH) from a remote location. You want to configure remote access to the servers in a manner that optimizes security and cost efficiency.
What should you do?
- A. Create a jump host instance with public IP Manage the instances by connecting through the jump host.
- B. Configure server instances with public IP addresses Create a firewall rule to only allow traffic from your corporate IPs.
- C. Create a firewall rule to allow access from the Identity-Aware Proxy (IAP) IP range Grant the role of an IAP- secured Tunnel User to the administrators.
- D. Create a site-to-site VPN from your corporate network to Google Cloud.
正解:C
解説:
Using Identity-Aware Proxy (IAP) for managing SSH access to private VMs ensures secure access control and avoids the need for public IPs. IAP allows you to enforce identity-based access control policies.
* Enable IAP: Ensure that IAP is enabled for your project. This can be done via the Google Cloud Console under "Security" -> "Identity-Aware Proxy".
* Set Up Firewall Rule: Create a firewall rule to allow SSH traffic from the IAP IP ranges.
* Navigate to "VPC network" -> "Firewall".
* Create a new rule allowing ingress traffic on port 22 (SSH) from the IAP IP ranges.
* Assign IAP-Secured Tunnel User Role: Grant the roles/iap.tunnelResourceAccessor role to the administrators who need SSH access.
* Go to "IAM & Admin" -> "IAM".
* Assign the IAP-Secured Tunnel User role to the relevant users or groups.
* SSH Using IAP: Administrators can now use IAP to SSH into the instances. This can be done using the gcloud command:
gcloud compute ssh [INSTANCE_NAME] --tunnel-through-iap
References:
* Using Identity-Aware Proxy for TCP forwarding
* Google Cloud Firewall Rules
質問 # 87
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 Show Matching Entries.
4. Make sure the resulting list is empty. - B. 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. - C. 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. - 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 Hide Matching Entries.
4. Make sure the resulting list is empty.
正解:D
解説:
To validate that all data written to BigQuery was done using the App Engine Default Service Account, you can use StackDriver Logging (now known as Cloud Logging) to filter and inspect the logs for BigQuery insert jobs. By hiding the entries matching the App Engine Default Service Account, you can ensure that no other service account has written to BigQuery if the resulting list is empty.
Steps:
Open Cloud Logging: Navigate to Cloud Logging in the Google Cloud Console.
Filter Logs: Apply a filter to display logs for BigQuery insert jobs.
Inspect Entries: Click on the email address that corresponds to the App Engine Default Service Account in the authentication field.
Hide Matching Entries: Select the option to hide matching entries.
Validate: Check if the resulting list is empty, confirming that no other service account has performed write operations to BigQuery.
Reference:
Google Cloud Logging
Monitoring BigQuery logs
質問 # 88
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最近多くの受験者たちはCertJukenの商品で試験に合格しましたので、我々は我々のProfessional-Cloud-Security-Engineer問題集を推薦します。我々は信頼できる問題集を開発して、皆様はこのような問題集を利用してGoogleのProfessional-Cloud-Security-Engineer試験に合格するのは我々の喜びです。我々は引き続き商品の質量のために努力します。
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