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NEW QUESTION # 80
Robin, a DevSecOps Engineer, is responsible for ensuring that all developers in the organization use their corporate email addresses when committing code. To enforce this, Robin sets up a Git pre-commit hook on a Windows system. Since the team uses PowerShell, Robin decides to write a script to check the user's Git email configuration before allowing commits. After writing the script, Robin encounters an issue where the pre-commit hook is not executing properly. On investigation, Robin realizes that the script is not marked as executable. Which command should Robin run to ensure the pre-commit hook is executable?
Answer: D
Explanation:
git update-index --chmod=+x .git/hooks/pre-commit sets the executable bit in Git's index for the hook file, which is the Git-aware way to mark scripts executable (relevant on Windows/PowerShell where the filesystem doesn't track exec bits). The other commands either commit, run the script manually, or print config-none make the hook executable.
NEW QUESTION # 81
Bruno Nascimento, a DevSecOps engineer at a Sao Paulo bank, wants to ensure that microservices communicating within his Kubernetes cluster mutually authenticate each other and encrypt all traffic between them, without modifying application code. Which technology should Bruno deploy?
Answer: D
Explanation:
A service mesh such as Istio or Linkerd injects sidecar proxies alongside each microservice to transparently handle mutual TLS (mTLS) authentication and encryption between services, providing zero-trust, code-free security for service-to-service communication -- exactly what Bruno needs. A WAF at the ingress protects against attacks arriving from outside the cluster targeting the application layer (e.g., HTTP-based attacks), but it does not provide mutual authentication and encryption between internal microservices. A VPN between developer laptops secures remote access for individual engineers, unrelated to intra-cluster service communication.
Static application firewall rules are generally coarse network-layer controls that do not provide identity-based mutual authentication or automatic encryption without code changes. Since Bruno needs code-transparent mTLS between microservices, a service mesh is correct.
NEW QUESTION # 82
Mia, a DevSecOps engineer, is responsible for ensuring that every deployment in the organization's Azure environment complies with strict security and compliance policies. Recently, a deployment introduced unapproved configurations, bypassing manual security checks and causing disruptions in the production environment. To prevent this issue from recurring, Mia needs to integrate a feature that automates compliance enforcement by evaluating policy adherence before deployment, monitoring alerts during deployment, and approval processes before and after deployment steps. Which Azure feature should Mia integrate into the release pipeline to enforce automated security and compliance checks during deployments?
Answer: D
Explanation:
Azure Release Gates automate compliance enforcement in release pipelines: they evaluate policy adherence before deployment, monitor alerts/health signals during deployment, and can require approvals before and after deployment steps-stopping non-compliant deployments like Mia's. Traffic Manager is load balancing, Event Grid is event routing, and 'Azure Policy Manager' is not the pipeline gating feature.
NEW QUESTION # 83
(Erica Mena has been working as a DevSecOps engineer in an IT company that provides customize software solutions to various clients across United States. To protect serverless and container applications with RASP, she would like to create an Azure container instance using Azure CLI in Microsoft PowerShell. She created the Azure container instance and loaded the container image to it. She then reviewed the deployment of the container instance. Which of the following commands should Erica run to get the logging information from the Azure container instance? (Assume the resource group name as ACI and container name as aci-test- closh.))
Answer: A
Explanation:
Azure Container Instances provide built-in logging capabilities that can be accessed using the Azure CLI. To retrieve logs from a deployed container instance, the correct command isaz container logsfollowed by the resource group and container name. The proper syntax requires double-dash parameters:--resource-groupand
--name. In Erica's case, the correct command is az container logs --resource-group ACI --name aci-test-closh.
Options that use "az get container logs" are invalid because "get" is not a supported verb in this context.
Option C uses incorrect single-dash flags, which do not match Azure CLI standards. Accessing container logs during the Code stage helps engineers validate application behavior, identify runtime errors, and ensure that security instrumentation such as RASP agents are functioning correctly before progressing further in the pipeline.
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NEW QUESTION # 84
(William Edwards is working as a DevSecOps engineer at SVR Software Solution Pvt. Ltd. His organization develops software products and applications related to digital marketing. William integrated Prisma Cloud with Jenkins to detect threat-intelligence based threat detection. This integration will allow him to scan container images and serverless functions for security issues in the CI/CD pipeline. Which of the following is employed by Prisma Cloud to understand the normal network behavior of each customer's cloud environment to detect network anomalies and zero-day attacks effectively with minimal false positives?.)
Answer: D
Explanation:
Prisma Cloud leveragesadvanced unsupervised machine learningto establish baselines of normal behavior within a customer's cloud environment. By analyzing patterns in network traffic, resource interactions, and workload behavior without relying on labeled training data, it can detect anomalies and potential zero-day attacks with minimal false positives. Supervised approaches require predefined labels and known attack patterns, which limits effectiveness against new or unknown threats. Unsupervised data mining alone lacks the adaptive intelligence provided by machine learning models. Using unsupervised machine learning during the Build and Test stage enables continuous, intelligent security analysis across dynamic cloud-native workloads, supporting proactive threat detection in DevSecOps pipelines.
NEW QUESTION # 85
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