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NEW QUESTION # 135
Yuki Sato, a DevSecOps engineer at a Yokohama consumer electronics company, discovers during a post-incident review that an attacker exploited a vulnerability that had actually been flagged by a scanner three months earlier but was never triaged or assigned an owner. Which process gap most directly caused this outcome?
Answer: A
Explanation:
A defined vulnerability management and triage workflow ensures that every finding from scanning tools is automatically assigned an owner, prioritized based on severity and exploitability, and tracked to remediation or formal risk acceptance within a set SLA -- the absence of such a workflow is exactly why Yuki's flagged vulnerability sat unaddressed for three months until it was exploited. An insufficient number of load balancers relates to availability and performance scaling, not vulnerability handling. An overly aggressive canary rollout percentage concerns deployment risk exposure during releases, unrelated to a vulnerability sitting untriaged for months. Excessive use of feature flags pertains to release/rollout flexibility and technical debt, not to the failure to triage a known scanner finding. Because the root cause is a finding that was detected but never triaged or owned, the missing vulnerability management/triage workflow is correct.
NEW QUESTION # 136
Zainab Suleiman, working at a Lagos fintech, configures her Kubernetes deployment pipeline to automatically halt and roll back a release if the new pod's error rate exceeds a defined threshold within the first ten minutes after deployment, without any human intervention. What is this mechanism called?
Answer: C
Explanation:
Automated rollback mechanisms continuously monitor key health indicators (such as error rates, latency, or failed health checks) immediately after a release and automatically revert to the previous known-good version if thresholds are breached, all without requiring a human to intervene -- this matches Zainab's scenario precisely. A manual approval gate requires a human reviewer to explicitly approve progression through the pipeline, which contradicts the "without any human intervention" requirement. A feature flag toggle allows selectively enabling or disabling specific features at runtime but does not inherently monitor error rates and trigger a full rollback on its own. A static analysis gate evaluates source code for issues prior to build/release and has no role in post-deployment runtime rollback. Since Zainab's system automatically reverts based on live error-rate monitoring, automated rollback is correct.
NEW QUESTION # 137
Mark Reynolds, a DevSecOps Engineer at CloudGuard Solutions, is responsible for securing sensitive data in a multi-cloud application. His team follows security best practices to prevent hardcoding API keys, database credentials, and encryption certificates in their application code or CI/CD pipelines. To achieve this, Mark needs a centralized, secure, and scalable way to store and manage secrets, ensuring only authorized services and users can access them while maintaining strict audit logging for compliance. Which Google Cloud service should Mark use to securely store and manage these sensitive credentials?
Answer: A
Explanation:
Google Cloud Secret Manager is the centralized, secure service for storing and managing secrets such as API keys, credentials, and certificates, with fine-grained IAM access control, versioning, and audit logging-exactly Mark's requirements. Key Vault is Azure's service, and 'Secret Repository'/'Encrypted Storage' are not GCP services.
NEW QUESTION # 138
A technology company recently implemented a continuous monitoring system to improve security, performance, and compliance across its cloud-based infrastructure and applications. The operations team set up monitoring tools to track infrastructure health, network stability, and application performance. After a routine system update, the company started experiencing intermittent service disruptions. Some users reported delayed responses, while others faced unexpected session timeouts. They investigated and reported that firewall settings and bandwidth usage, confirming that traffic flow remained stable. Analysis also shows that CPU, memory, and storage usage were within normal limits. Which aspect of continuous monitoring should the team investigate next?
Answer: C
Explanation:
Since infrastructure (CPU/memory/storage) and network (firewall, bandwidth) checks came back normal, but users report delayed responses and session timeouts, the next area is application monitoring: examining response times, error rates, and transaction stability at the application layer, which is where the update most likely introduced the intermittent disruption.
NEW QUESTION # 139
Nadia Correia works as a DevSecOps architect for a fintech startup in Lisbon. During the Plan stage of her pipeline, she wants to create a visual model that identifies potential threats, attack vectors, and trust boundaries in a new payments microservice before any code is written. Which activity should Nadia perform?
Answer: D
Explanation:
Threat modeling is a proactive planning-stage activity used to identify assets, entry points, trust boundaries, and potential threats to an application before development begins. Techniques such as STRIDE or DREAD help teams systematically enumerate risks like spoofing, tampering, and information disclosure, and map them to mitigating controls early in the SDLC. Software Composition Analysis (SCA) identifies vulnerabilities in third-party/open-source dependencies, DAST tests running applications for vulnerabilities, and fuzz testing feeds malformed input to a running program to find crashes - all of these occur after code exists, unlike threat modeling, which is inherently a design-time (Plan stage) activity. Since Nadia needs to model attack vectors and trust boundaries before writing code, threat modeling is the correct choice.
NEW QUESTION # 140
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