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| Section | Objectives |
|---|---|
| Cloud-Native DevSecOps | - Cloud security principles (AWS, Azure) - Serverless security - Container and Kubernetes security - Cloud security compliance |
| DevSecOps Pipeline - Build Stage | - Container security fundamentals - Software Composition Analysis (SCA) - Build pipeline security controls - Automated build security |
| DevSecOps Pipeline - Test Stage | - Dynamic Application Security Testing (DAST) - API security testing - Security regression testing - Interactive Application Security Testing (IAST) |
| DevSecOps Pipeline - Plan Stage | - Threat modeling methodologies - Risk assessment and management - Security requirement engineering - Compliance and regulatory alignment |
| Introduction to DevSecOps | - Shift-left security approach - Key components and toolchain - DevSecOps vs traditional security - DevSecOps concepts and philosophy |
| DevSecOps Pipeline - Operate & Monitor Stage | - Continuous security monitoring - Incident response and management - Threat detection and response - Logging and security analytics |
| DevSecOps Pipeline - Release & Deploy Stage | - Configuration management security - Policy as Code implementation - Infrastructure as Code (IaC) security - Orchestration and deployment security |
| DevSecOps Governance and Culture | - DevSecOps maturity model - Continuous improvement practices - Team roles and responsibilities - Security policy and framework |
| Understanding DevOps Culture | - Collaboration and communication models - DevOps fundamentals and principles - DevOps lifecycle and workflows |
| DevSecOps Pipeline - Code Stage | - Code review and security analysis - Static Application Security Testing (SAST) - Secret management and prevention - Secure coding practices and guidelines |
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NEW QUESTION # 22
Joe Adler has recently been offered a job as a DevSecOps engineer in an IT company that develops software products and web applications for the healthcare industry. He would like to implement DevSec Hardening Framework to add a layer into the automation framework that configures operating systems and services and takes care of difficult settings, compliance guidelines, cryptography recommendations, and secure defaults. To apply DevSec Hardening Framework to the machine, he scanned the machine using Nessus scanning tool; he then checked the compliance results before using DevSec Hardening Framework. Which of the following commands should Joe use to run DevSec Hardening Framework?
Answer: C
Explanation:
The DevSec Hardening Framework is commonly implemented using Chef, and it is executed locally using the chef-solo command. The -c flag specifies the configuration file (solo.rb), and the
-j flag specifies the JSON attributes file (solo.json). Option A correctly uses both required parameters in the proper format. The other options incorrectly swap or misuse flags that are not supported by Chef- solo. Running this command applies secure configurations, compliance controls, and cryptographic standards to the target system. Executing DevSec Hardening Framework during the Operate and Monitor stage ensures that systems remain secure, compliant, and resilient against misconfiguration- based attacks.
NEW QUESTION # 23
Patricia Cornwell has been working as a DevSecOps engineer in an IT company that provides custom software solutions. She would like to use GitMiner to mine the secret credentials such as usernames and passwords, API credentials, and other sensitive data from GitHub. Therefore, to start the scanning, she cloned the repo to the local machine by using the git clone
http://github.com/UnkL4b/GitMiner command; then, she moved to the current directory using $ cd GitMiner command. Which of the following commands should Patricia use to install the dependencies?
Answer: B
Explanation:
GitMiner is a Python-based tool, and like most Python projects, it manages its dependencies through a requirements file named requirements.txt. The correct way to install all dependencies listed in this file is by using the pip3 install -r requirements.txt command. The -r flag instructs pip to read package names and versions from the specified file and install them accordingly. The other flags shown in the options do not correspond to dependency installation from a requirements file and would result in command errors or unexpected behavior. Installing dependencies correctly is a prerequisite for running GitMiner successfully. During the Code stage, tools like GitMiner help identify hard-coded secrets and sensitive information early, reducing the risk of credential leakage and preventing security incidents later in the DevSecOps pipeline.
NEW QUESTION # 24
Terry Crews has been working as a DevSecOps engineer at an IT company that develops software products and web applications related to IoT devices. She integrated Sqreen RASP tool with Slack for sending notifications related to security issues to her team. How can Sqreen send notification alerts to Slack?
Answer: A
Explanation:
Sqreen provides runtime application self-protection (RASP) capabilities that allow teams to detect and respond to security threats in real time. Sqreen uses a structured automation mechanism called a playbook to define how security events are handled. A playbook consists of three key components: a trigger that detects suspicious or malicious behavior, a security response that defines what action Sqreen should take (such as blocking a request or flagging an attack), and a notification that sends alerts to external systems like Slack. The term "cookbook" is not used in Sqreen's alerting and response model, making options A and B incorrect. Option C incorrectly uses the phrase "Alert a response" instead of "security response," which does not accurately describe Sqreen's configuration model. By using playbooks, Sqreen enables automated detection, response, and team notification during the Operate and Monitor stage, ensuring rapid awareness and collaboration when security incidents occur.
NEW QUESTION # 25
Noor Abdullah, a compliance-focused DevSecOps engineer at a Doha financial services firm, must ensure that every change to production infrastructure is logged with who made the change, when, and what was altered, to satisfy an upcoming financial regulatory audit. Which practice primarily supports this requirement?
Answer: D
Explanation:
Immutable, centralized audit logging captures a tamper-resistant record of every change made to systems and infrastructure, including the identity of the actor, timestamp, and nature of the change, which is essential for demonstrating accountability and traceability during regulatory audits -- exactly what Noor requires. Load balancing distributes incoming traffic across multiple servers to improve availability and performance, and has no relationship to change auditing. Blue- green deployment is a release strategy focused on minimizing downtime during version switches, not on capturing detailed change history for compliance. Canary release gradually shifts traffic to a new version for risk mitigation but similarly does not address audit logging requirements. Since Noor needs a verifiable record of who changed what and when for audit purposes, immutable centralized audit logging is correct.
NEW QUESTION # 26
Sophia, a software engineer, is responsible for deploying applications efficiently within her team. She often finds it cumbersome to switch between multiple tools and interfaces to execute deployment workflows. To streamline this process, she decides to use Kubiya, an AI-driven DevOps assistant. By leveraging Kubiya's conversational AI interface, Sophia simply runs a single command to initiate the deployment, eliminating the need for manual intervention across different platforms. This allows her to focus on higher-value tasks while ensuring smooth and efficient deployments. Which core concept of Kubiya enables this streamlined deployment process?
Answer: A
Explanation:
Kubiya is an AI-driven DevOps assistant whose core value is a conversational AI interface: engineers run a single natural-language command or chat interaction to trigger deployment workflows across tools. Sophia's experience-one command replacing manual work across multiple platforms-directly reflects conversational AI streamlining deployments. It does not eliminate CI/CD pipelines or guarantee the prevention of all misconfigurations.
NEW QUESTION # 27
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