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Google Professional-Cloud-Security-Engineer certification is an exam designed to test the knowledge and expertise of individuals in the field of cloud security engineering. Professional-Cloud-Security-Engineer exam is intended for professionals who have in-depth knowledge of cloud security technologies and methodologies, and who are looking to become certified by Google Cloud as a Professional Cloud Security Engineer.
To be eligible for the exam, candidates should have at least three years of experience in IT security, including one year of experience in designing and managing solutions on the Google Cloud Platform. They should also have a good understanding of security principles and concepts, such as identity and access management, encryption, and incident response.
To prepare for the Professional-Cloud-Security-Engineer certification exam, Google offers a variety of training resources such as online courses, practice tests, and certification guides. Additionally, Google recommends having hands-on experience with Google Cloud Platform and familiarity with the relevant concepts and objectives of the certification exam. Google also offers a community platform where individuals can interact with other professionals, share their knowledge, and learn from the experiences of others.
NEW QUESTION # 46
Your company is using GSuite and has developed an application meant for internal usage on Google App Engine. You need to make sure that an external user cannot gain access to the application even when an employee's password has been compromised.
What should you do?
- A. Enforce 2-factor authentication in GSuite for all users.
- B. Configure Cloud VPN between your private network and GCP.
- C. Provision user passwords using GSuite Password Sync.
- D. Configure Cloud Identity-Aware Proxy for the App Engine Application.
Answer: B
NEW QUESTION # 47
You want to limit the images that can be used as the source for boot disks. These images will be stored in a dedicated project.
What should you do?
- A. In Resource Manager, edit the project permissions for the trusted project. Add the organization as member with the role: Compute Image User.
- B. In Resource Manager, edit the organization permissions. Add the project ID as member with the role: Compute Image User.
- C. Use the Organization Policy Service to create a compute.trustedimageProjects constraint on the organization level. List the trusted project as the whitelist in an allow operation.
- D. Use the Organization Policy Service to create a compute.trustedimageProjects constraint on the organization level. List the trusted projects as the exceptions in a deny operation.
Answer: D
NEW QUESTION # 48
Your team wants to limit users with administrative privileges at the organization level.
Which two roles should your team restrict? (Choose two.)
- A. Organization Administrator
- B. Compute Admin
- C. GKE Cluster Admin
- D. Organization Role Viewer
- E. Super Admin
Answer: A,E
Explanation:
https://cloud.google.com/resource-manager/docs/creating-managing-organization
NEW QUESTION # 49
How should a customer reliably deliver Stackdriver logs from GCP to their on-premises SIEM system?
- A. Configure Organizational Log Sinks to export logs to a Cloud Pub/Sub Topic, which will be sent to the SIEM via Dataflow.
- B. Build a connector for the SIEM to query for all logs in real time from the GCP RESTful JSON APIs.
- C. Configure every project to export all their logs to a common BigQuery DataSet, which will be queried by the SIEM system.
- D. Send all logs to the SIEM system via an existing protocol such as syslog.
Answer: A
NEW QUESTION # 50
An employer wants to track how bonus compensations have changed over time to identify employee outliers and correct earning disparities. This task must be performed without exposing the sensitive compensation data for any individual and must be reversible to identify the outlier.
Which Cloud Data Loss Prevention API technique should you use to accomplish this?
- A. CryptoHashConfig
- B. CryptoReplaceFfxFpeConfig
- C. Generalization
- D. Redaction
Answer: C
Explanation:
By bucketing or generalizing, we achieve a reversible pseudonymised data that can still yield the required analysis. https://cloud.google.com/dlp/docs/concepts-bucketing
NEW QUESTION # 51
You are working with a client that is concerned about control of their encryption keys for sensitive data. The client does not want to store encryption keys at rest in the same cloud service provider (CSP) as the data that the keys are encrypting. Which Google Cloud encryption solutions should you recommend to this client?
(Choose two.)
- A. Google default encryption
- B. Customer-supplied encryption keys.
- C. Cloud External Key Manager
- D. Secret Manager
- E. Customer-managed encryption keys
Answer: B,C
NEW QUESTION # 52
You are a consultant for an organization that is considering migrating their data from its private cloud to Google Cloud. The organization's compliance team is not familiar with Google Cloud and needs guidance on how compliance requirements will be met on Google Cloud. One specific compliance requirement is for customer data at rest to reside within specific geographic boundaries. Which option should you recommend for the organization to meet their data residency requirements on Google Cloud?
- A. Google Cloud Armor
- B. Organization Policy Service constraints
- C. Geolocation access controls
- D. Access control lists
- E. Shielded VM instances
Answer: B
Explanation:
Explanation
https://cloud.google.com/resource-manager/docs/organization-policy/using-constraints#list-constraint
NEW QUESTION # 53
You manage your organization's Security Operations Center (SOC). You currently monitor and detect network traffic anomalies in your VPCs based on network logs. However, you want to explore your environment using network payloads and headers. Which Google Cloud product should you use?
- A. Google Cloud Armor
- B. Packet Mirroring
- C. Cloud IDS
- D. VPC Service Controls logs
- E. VPC Flow Logs
Answer: B
NEW QUESTION # 54
You are a Security Administrator at your organization. You need to restrict service account creation capability within production environments. You want to accomplish this centrally across the organization. What should you do?
- A. Use organization policy constraints/iam.disableServiceAccountKeyCreation boolean to disable the creation of new service accounts.
- B. Use Identity and Access Management (IAM) to restrict access of all users and service accounts that have access to the production environment.
- C. Use organization policy constraints/iam.disableServiceAccountCreation boolean to disable the creation of new service accounts.
- D. Use organization policy constraints/iam.disableServiceAccountKeyUpload boolean to disable the creation of new service accounts.
Answer: C
Explanation:
Reference:
You can use the iam.disableServiceAccountCreation boolean constraint to disable the creation of new service accounts. This allows you to centralize management of service accounts while not restricting the other permissions your developers have on projects. https://cloud.google.com/resource-manager/docs/organization-policy/restricting-service-accounts#disable_service_account_creation
NEW QUESTION # 55
You are responsible for protecting highly sensitive data in BigQuery. Your operations teams need access to this data, but given privacy regulations, you want to ensure that they cannot read the sensitive fields such as email addresses and first names. These specific sensitive fields should only be available on a need-to-know basis to the HR team. What should you do?
- A. Perform data redaction with the DLP API and store that data in BigQuery for later use.
- B. Perform data inspection with the DLP API and store that data in BigQuery for later use.
- C. Perform tokenization for Pseudonymization with the DLP API and store that data in BigQuery for later use.
- D. Perform data masking with the DLP API and store that data in BigQuery for later use.
Answer: C
Explanation:
Explanation
Pseudonymization is a de-identification technique that replaces sensitive data values with cryptographically generated tokens. Pseudonymization is widely used in industries like finance and healthcare to help reduce the risk of data in use, narrow compliance scope, and minimize the exposure of sensitive data to systems while preserving data utility and accuracy.
https://cloud.google.com/dlp/docs/pseudonymization
NEW QUESTION # 56
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 Troubleshooter
- B. Policy Simulator
- C. IAM Recommender
- D. Policy Analyzer
Answer: D
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 # 57
Your organization must comply with the regulation to keep instance logging data within Europe. Your workloads will be hosted in the Netherlands in region europe-west4 in a new project. You must configure Cloud Logging to keep your data in the country.
What should you do?
- A. Set the logging storage region to eurcpe-west4 by using the gcloud CLI logging settings update.
- B. Create a new tog bucket in europe-west4. and redirect the _Def auit bucKet to the new bucket.
- C. Configure log sink to export all logs into a Cloud Storage bucket in europe-west4.
- D. Configure the organization policy constraint gcp.resourceLocations to europe-west4.
Answer: B
NEW QUESTION # 58
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 a Cloud Storage Trigger that is only triggered when PII data is uploaded. Use Cloud Functions to capture the trigger and delete such files.
- B. 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.
- C. On the bucket shared with both the analysts and the administrator, configure Object Lifecycle Management to delete objects that contain any 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.
Answer: D
Explanation:
https://codelabs.developers.google.com/codelabs/cloud-storage-dlp-functions#0 https://www.youtube.com/watch?v=0TmO1f-Ox40
NEW QUESTION # 59
A customer wants to move their sensitive workloads to a Compute Engine-based cluster using Managed Instance Groups (MIGs). The jobs are bursty and must be completed quickly. They have a requirement to be able to manage and rotate the encryption keys.
Which boot disk encryption solution should you use on the cluster to meet this customer's requirements?
- A. Encryption by default
- B. Pre-encrypting files before transferring to Google Cloud Platform (GCP) for analysis
- C. Customer-managed encryption keys (CMEK) using Cloud Key Management Service (KMS)
- D. Customer-supplied encryption keys (CSEK)
Answer: C
Explanation:
Reference:
https://cloud.google.com/kubernetes-engine/docs/how-to/dynamic-provisioning-cmek
NEW QUESTION # 60
In a shared security responsibility model for IaaS, which two layers of the stack does the customer share responsibility for? (Choose two.)
- A. Hardware
- B. Network Security
- C. Boot
- D. Storage Encryption
- E. Access Policies
Answer: D,E
NEW QUESTION # 61
When working with agents in a support center via online chat, an organization's customers often share pictures of their documents with personally identifiable information (PII). The organization that owns the support center is concerned that the PII is being stored in their databases as part of the regular chat logs they retain for review by internal or external analysts for customer service trend analysis.
Which Google Cloud solution should the organization use to help resolve this concern for the customer while still maintaining data utility?
- A. Use Object Lifecycle Management to make sure that all chat records with PII in them are discarded and not saved for analysis.
- B. Use the generalization and bucketing actions of the DLP API solution to redact PII from the texts before storing them for analysis.
- C. Use Cloud Key Management Service (KMS) to encrypt the PII data shared by customers before storing it for analysis.
- D. Use the image inspection and redaction actions of the DLP API to redact PII from the images before storing them for analysis.
Answer: B
Explanation:
Reference:
https://cloud.google.com/dlp/docs/deidentify-sensitive-data
NEW QUESTION # 62
An organization is starting to move its infrastructure from its on-premises environment to Google Cloud Platform (GCP). The first step the organization wants to take is to migrate its ongoing data backup and disaster recovery solutions to GCP. The organization's on-premises production environment is going to be the next phase for migration to GCP. Stable networking connectivity between the on-premises environment and GCP is also being implemented.
Which GCP solution should the organization use?
- A. Cloud Storage using a scheduled task and gsutil via Cloud Interconnect
- B. Compute Engines Virtual Machines using Persistent Disk via Cloud Interconnect
- C. Cloud Datastore using regularly scheduled batch upload jobs via Cloud VPN
- D. BigQuery using a data pipeline job with continuous updates via Cloud VPN
Answer: A
Explanation:
https://cloud.google.com/solutions/migration-to-google-cloud-building-your-foundation
NEW QUESTION # 63
You are responsible for managing your company's identities in Google Cloud. Your company enforces 2-Step Verification (2SV) for all users. You need to reset a user's access, but the user lost their second factor for 2SV. You want to minimize risk. What should you do?
- A. On the Google Admin console, select the appropriate user account, and generate a backup code to allow the user to sign in. Ask the user to update their second factor.
- B. On the Google Admin console, use a super administrator account to reset the user account's credentials. Ask the user to update their credentials after their first login.
- C. On the Google Admin console, temporarily disable the 2SV requirements for all users. Ask the user to log in and add their new second factor to their account. Re-enable the 2SV requirement for all users.
- D. On the Google Admin console, select the appropriate user account, and temporarily disable 2SV for this account Ask the user to update their second factor, and then re-enable 2SV for this account.
Answer: A
Explanation:
https://support.google.com/a/answer/9176734
Use backup codes for account recovery If you need to recover an account, use backup codes. Accounts are still protected by 2-Step Verification, and backup codes are easy to generate.
NEW QUESTION # 64
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. Use FindingLimits and TimespanContfig to sample data and minimize transformation units.
- B. Set appropriate rowsLimit value on BigQuery data hosted outside the US and set appropriate bytesLimitPerFile value on multiregional Cloud Storage buckets.
- C. Set appropriate rowsLimit value on BigQuery data hosted outside the US, and minimize transformation units 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 # 65
A customer needs to prevent attackers from hijacking their domain/IP and redirecting users to a malicious site through a man-in-the-middle attack.
Which solution should this customer use?
- A. Cloud Armor
- B. Cloud Identity-Aware Proxy
- C. DNS Security Extensions
- D. VPC Flow Logs
Answer: C
Explanation:
Reference:
DNSSEC - use a DNS registrar that supports DNSSEC, and enable it. DNSSEC digitally signs DNS communication, making it more difficult (but not impossible) for hackers to intercept and spoof. Domain Name System Security Extensions (DNSSEC) adds security to the Domain Name System (DNS) protocol by enabling DNS responses to be validated. Having a trustworthy Domain Name System (DNS) that translates a domain name like www.example.com into its associated IP address is an increasingly important building block of today's web-based applications. Attackers can hijack this process of domain/IP lookup and redirect users to a malicious site through DNS hijacking and man-in-the-middle attacks. DNSSEC helps mitigate the risk of such attacks by cryptographically signing DNS records. As a result, it prevents attackers from issuing fake DNS responses that may misdirect browsers to nefarious websites. https://cloud.google.com/blog/products/gcp/dnssec-now-available-in-cloud-dns
NEW QUESTION # 66
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