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| Section | Objectives |
|---|---|
| DevSecOps Pipeline - Build Stage | - Software Composition Analysis (SCA) - Container security fundamentals - Build pipeline security controls - Automated build security |
| DevSecOps Pipeline - Plan Stage | - Threat modeling methodologies - Risk assessment and management - Security requirement engineering - Compliance and regulatory alignment |
| Cloud-Native DevSecOps | - Serverless security - Container and Kubernetes security - Cloud security compliance - Cloud security principles (AWS, Azure) |
| DevSecOps Pipeline - Operate & Monitor Stage | - Continuous security monitoring - Threat detection and response - Incident response and management - Logging and security analytics |
| Understanding DevOps Culture | - DevOps fundamentals and principles - DevOps lifecycle and workflows - Collaboration and communication models |
| DevSecOps Pipeline - Test Stage | - Interactive Application Security Testing (IAST) - API security testing - Dynamic Application Security Testing (DAST) - Security regression testing |
| DevSecOps Governance and Culture | - Continuous improvement practices - Security policy and framework - Team roles and responsibilities - DevSecOps maturity model |
| Introduction to DevSecOps | - Key components and toolchain - Shift-left security approach - DevSecOps vs traditional security - DevSecOps concepts and philosophy |
| DevSecOps Pipeline - Release & Deploy Stage | - Infrastructure as Code (IaC) security - Orchestration and deployment security - Policy as Code implementation - Configuration management security |
| DevSecOps Pipeline - Code Stage | - Secret management and prevention - Static Application Security Testing (SAST) - Code review and security analysis - Secure coding practices and guidelines |
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NEW QUESTION # 95
(Walter O'Brien recently joined as a junior DevSecOps engineer in an IT company located in Lansing, Michigan. His organization develops robotic process automation software for various clients stretched across the globe. Walter's team leader asked him to configure username and user email for git in VS Code.
Therefore, he opened Visual Studio Code IDE console, then clicked on Terminal tab and selected New terminal. Which of the following command should Walter execute in the terminal to configure username and user email for git in VS Code?)
Answer: C
Explanation:
Git requires developers to configure their identity using two specific configuration keys:user.nameanduser.
email. These values are embedded into every commit and are essential for accountability, auditing, and collaboration. The correct configuration syntax uses dot-separated key names (user.name and user.email) and the --global flag to apply the settings across all repositories on the system. Among the provided options, only optionBuses the correct configuration keys. The other options use invalid key names such as user-name, user_name, or incorrect command structure. Although the options display a minor command typo ("get config" instead of git config), the question is clearly testing knowledge of the correct Git configuration keys.
Configuring Git identity in the Code stage ensures accurate commit history and supports traceability across the DevSecOps pipeline.
NEW QUESTION # 96
(Paul McCartney has been working as a senior DevSecOps engineer in an IT company over the past 5 years.
He would like to integrate Conjur secret management tool into the CI/CD pipeline to secure the secret credentials in various phases of development. To integrate Conjur with Jenkins, Paul downloaded Conjur.hpi file and uploaded it to the Upload Plugin section of Jenkins. Paul declared a policy branch using a code and saved it as a .yml file. Which of the following commands should Paul use to load this policy in Conjur root?)
Answer: B
Explanation:
Conjur policies define access controls, authentication rules, and secret variables, and they must be loaded into the correct policy branch. The conjur policy load command uses the -b flag to specify thepolicy branchand the -f flag to specify thepolicy file. To load a policy into the root branch, the correct command is conjur policy load -b root -f <file-name>. Options that reverse or misuse these flags are invalid and would either fail or load the policy incorrectly. Loading policies correctly during the Build and Test stage ensures that Jenkins pipelines can securely access secrets at runtime, enforcing centralized secret management, least-privilege access, and compliance with security requirements.
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NEW QUESTION # 97
A managed services provider wants to enhance its incident management process by integrating Incident.io with OpsGenie. The company handles critical infrastructure monitoring and needs a system that improve visibility into incidents and streamline communication across teams. Which key advantage does this integration provide?
Answer: D
Explanation:
Integrating Incident.io with OpsGenie automates incident escalation workflows: alerts are routed and escalated based on severity, incident type, or resolution time (on-call schedules and escalation policies), improving visibility and communication. It does not remove humans from the loop, auto-resolve all incidents, or prevent failures from occurring.
NEW QUESTION # 98
Emma Watson, a DevSecOps engineer at a cybersecurity firm, is investigating delays in their software deployment process. She notices that it takes a significant amount of time for newly committed code to move through development, testing, and production. To improve efficiency, she wants to analyze patterns and pinpoint specific areas causing these delays. Which metric should she use to measure the time from code commit to production?
Answer: C
Explanation:
Change lead time measures the elapsed time from code commit to successful deployment in production, precisely the metric Emma needs to pinpoint where delays occur across development, testing, and release. Change volume counts how many changes occur, availability measures uptime, and customer issue volume tracks reported problems-none measure commit-to-production time.
NEW QUESTION # 99
Fatima Zahra Bennani, a DevSecOps engineer at a Casablanca telecom, needs to verify that a specific compliance control - encryption at rest for all cloud storage buckets - is continuously enforced across the entire AWS environment, not just checked once during initial setup. Which type of tool should Fatima adopt?
Answer: B
Explanation:
CSPM tools (such as AWS Security Hub, Prisma Cloud, or Wiz) continuously monitor cloud environments against defined compliance benchmarks and security policies, automatically detecting configuration drift -- such as a storage bucket losing encryption-at-rest settings -- and alerting or remediating in near real time, which directly satisfies Fatima's need for ongoing, continuous enforcement rather than a point-in-time check. A one-time manual audit spreadsheet only captures a snapshot in time and cannot detect drift that occurs afterward. A static code analyzer for application source examines code for vulnerabilities and has no visibility into live cloud resource configuration. A Git commit hook operates on source code repository events and has no relationship to ongoing cloud infrastructure compliance monitoring. Since Fatima needs continuous, automated verification of a cloud compliance control, a CSPM tool is correct.
NEW QUESTION # 100
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