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Google Professional-Cloud-Security-Engineer Certification Exam is designed for individuals who are interested in showcasing their expertise in managing and securing applications on the Google Cloud Platform. Google Cloud Certified - Professional Cloud Security Engineer Exam certification is ideal for professionals who are responsible for implementing security controls and maintaining compliance for cloud-based solutions. With this certification, individuals can demonstrate their skills in designing and implementing secure infrastructure, configuring security policies, and managing compliance controls on the Google Cloud Platform.
The Google Professional-Cloud-Security-Engineer Exam covers various topics, including cloud security architecture, data protection, identity and access management, network security, and compliance. Professional-Cloud-Security-Engineer exam format comprises multiple-choice and scenario-based questions that evaluate the candidate's ability to analyze and solve real-world problems related to cloud security. Upon passing the exam, the individual becomes a Google Cloud Certified - Professional Cloud Security Engineer, which demonstrates their credibility and competence in cloud security and opens up new career opportunities in the cloud industry.
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NEW QUESTION # 84
You want to make sure that your organization's Cloud Storage buckets cannot have data publicly available to the internet. You want to enforce this across all Cloud Storage buckets. What should you do?
Answer: C
Explanation:
Explanation
- Uniform bucket-level access:
https://cloud.google.com/storage/docs/uniform-bucket-level-access#should-you-use
- Domain Restricted Sharing:
https://cloud.google.com/resource-manager/docs/organization-policy/restricting-domains#public_data_sharing
NEW QUESTION # 85
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?
Answer: C
Explanation:
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 # 86
Your organization has on-premises hosts that need to access Google Cloud APIs You must enforce private connectivity between these hosts minimize costs and optimize for operational efficiency What should you do?
Answer: B
NEW QUESTION # 87
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?
Answer: B
Explanation:
De-identifying sensitive data Cloud Data Loss Prevention (DLP) can de-identify sensitive data in text content, including text stored in container structures such as tables. De-identification is the process of removing identifying information from data. The API detects sensitive data such as personally identifiable information (PII), and then uses a de-identification transformation to mask, delete, or otherwise obscure the data. For example, de-identification techniques can include any of the following: Masking sensitive data by partially or fully replacing characters with a symbol, such as an asterisk (*) or hash (#). Replacing each instance of sensitive data with a token, or surrogate, string. Encrypting and replacing sensitive data using a randomly generated or pre-determined key. When you de-identify data using the CryptoReplaceFfxFpeConfig or CryptoDeterministicConfig infoType transformations, you can re-identify that data, as long as you have the CryptoKey used to originally de-identify the data. https://cloud.google.com/dlp/docs/deidentify-sensitive-data
NEW QUESTION # 88
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?
Answer: B
Explanation:
Explanation
https://cloud.google.com/dlp/docs/concepts-image-redaction
NEW QUESTION # 89
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