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 Cloud Storage bucket, and configure the bucket's Object Lifecycle Management feature.
• B. Store the data in a single BigQuery table and set the appropriate table expiration time.
• C. Store the data in a single BigTable table and set an expiration time on the column families.
• D. Store the data in a single Persistent Disk, and delete the disk at expiration time.

解説: (CertJuken メンバーにのみ表示されます)

You are in charge of migrating a legacy application from your company datacenters to GCP before the current maintenance contract expires. You do not know what ports the application is using and no documentation is available for you to check. You want to complete the migration without putting your environment at risk.
What should you do?

• A. Migrate the application into an isolated project using a "Lift & Shift" approach. Enable all internal TCP traffic using VPC Firewall rules. Use VPC Flow logs to determine what traffic should be allowed for theapplication to work properly.
• B. Refactor the application into a micro-services architecture hosted in Cloud Functions in an isolated project.Disable all traffic from outside your project using Firewall Rules. Use VPC Flow logs to determine what traffic should be allowed for the application to work properly.
• C. Refactor the application into a micro-services architecture in a GKE cluster. Disable all traffic from outside the cluster using Firewall Rules. Use VPC Flow logs to determine what traffic should be allowed for the application to work properly.
• D. Migrate the application into an isolated project using a "Lift & Shift" approach in a custom network.
  Disable all traffic within the VPC and look at the Firewall logs to determine what traffic should be allowed for the application to work properly.

解説: (CertJuken メンバーにのみ表示されます)

An application running on a Compute Engine instance needs to read data from a Cloud Storage bucket. Your team does not allow Cloud Storage buckets to be globally readable and wants to ensure the principle of least privilege.
Which option meets the requirement of your team?

• A. Create a Cloud Storage ACL that allows read-only access from the Compute Engine instance's IP address and allows the application to read from the bucket without credentials.
• B. Encrypt the data in the Cloud Storage bucket using Cloud KMS, and allow the application to decrypt the data with the KMS key.
• C. Use a service account with read-only access to the Cloud Storage bucket, and store the credentials to the service account in the config of the application on the Compute Engine instance.
• D. Use a service account with read-only access to the Cloud Storage bucket to retrieve the credentials from the instance metadata.

解説: (CertJuken メンバーにのみ表示されます)

Your organization has implemented synchronization and SAML federation between Cloud Identity and Microsoft Active Directory. You want to reduce the risk of Google Cloud user accounts being compromised.
What should you do?

• A. Create an Active Directory domain password policy with strong password settings, and configure post- SSO (single sign-on) 2-Step Verification with verification codes via text or phone call in the Google Admin console.
• B. Create a Cloud Identity password policy with strong password settings, and configure 2-Step Verification with verification codes via text or phone call in the Google Admin console.
• C. Create a Cloud Identity password policy with strong password settings, and configure 2-Step Verification with security keys in the Google Admin console.
• D. Create an Active Directory domain password policy with strong password settings, and configure post- SSO (single sign-on) 2-Step Verification with security keys in the Google Admin console.

解説: (CertJuken メンバーにのみ表示されます)

You are on your company's development team. You noticed that your web application hosted in staging on GKE dynamically includes user data in web pages without first properly validating the inputted data. This could allow an attacker to execute gibberish commands and display arbitrary content in a victim user's browser in a production environment.
How should you prevent and fix this vulnerability?

• A. Use Web Security Scanner to validate the usage of an outdated library in the code, and then use a secured version of the included library.
• B. Use Web Security Scanner in staging to simulate an XSS injection attack, and then use a templating system that supports contextual auto-escaping.
• C. Set up an HTTPS load balancer, and then use Cloud Armor for the production environment to prevent the potential XSS attack.
• D. Use Cloud IAP based on IP address or end-user device attributes to prevent and fix the vulnerability.

解説: (CertJuken メンバーにのみ表示されます)