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| Section | Objectives |
|---|---|
| Introduction to DevSecOps | - DevSecOps concepts and philosophy - Key components and toolchain - DevSecOps vs traditional security - Shift-left security approach |
| DevSecOps Pipeline - Build Stage | - Build pipeline security controls - Software Composition Analysis (SCA) - Automated build security - Container security fundamentals |
| DevSecOps Pipeline - Operate & Monitor Stage | - Incident response and management - Logging and security analytics - Continuous security monitoring - Threat detection and response |
| Cloud-Native DevSecOps | - Serverless security - Cloud security principles (AWS, Azure) - Cloud security compliance - Container and Kubernetes security |
| DevSecOps Pipeline - Code Stage | - Secret management and prevention - Secure coding practices and guidelines - Static Application Security Testing (SAST) - Code review and security analysis |
| Understanding DevOps Culture | - DevOps lifecycle and workflows - Collaboration and communication models - DevOps fundamentals and principles |
| DevSecOps Pipeline - Release & Deploy Stage | - Orchestration and deployment security - Infrastructure as Code (IaC) security - Configuration management security - Policy as Code implementation |
| DevSecOps Pipeline - Test Stage | - API security testing - Dynamic Application Security Testing (DAST) - Interactive Application Security Testing (IAST) - Security regression testing |
| DevSecOps Governance and Culture | - Team roles and responsibilities - DevSecOps maturity model - Security policy and framework - Continuous improvement practices |
| DevSecOps Pipeline - Plan Stage | - Security requirement engineering - Threat modeling methodologies - Risk assessment and management - Compliance and regulatory alignment |
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NEW QUESTION # 22
Cheryl Hines has been working as a senior DevSecOps engineer over the past 5 years in an IT company. Due to the robust features offered by Keywhiz secret management tool such as compatibility with all software, untraceable secrets, no impact of power cut or server outage, etc., Cheryl's organization is using it for managing and distributing secrets. To add a secret using Keywhiz CLI, which of the following commands should Cheryl use?
Answer: B
Explanation:
Keywhiz CLI requires authentication before secrets can be added. The correct process involves logging in using the --devTrustStore option and authenticating as an administrator using the -- admin flag. Once authenticated, the add secret command is used with input redirection to securely store the secret. Options that use incorrect flag names, incorrect casing, or invalid trust store identifiers do not follow Keywhiz CLI syntax. Adding secrets through Keywhiz instead of embedding them in code supports secure secret distribution and management, which is a fundamental aspect of DevSecOps culture. This approach ensures secrets remain protected, auditable, and available even during outages.
NEW QUESTION # 23
Jason Wylie has been working as a DevSecOps engineer in an IT company located in Sacramento, California. He would like to use Jenkins for CI and Azure Pipelines for CD to deploy a Spring Boot app to an Azure Container Service (AKS) Kubernetes cluster. He created a namespace for deploying the Jenkins in AKS, and then deployed the Jenkins app to the Pod.
Which of the following commands should Jason run to see the pods that have been spun up and running?
Answer: B
Explanation:
Kubernetes uses namespaces to logically isolate resources such as pods, services, and deployments. When an application like Jenkins is deployed into a specific namespace, the correct way to view the pods running in that namespace is by using the -n (or --namespace) flag with the kubectl get pods command. The command kubectl get pods -n jenkins instructs Kubernetes to list all pods in the "jenkins" namespace. The other options use invalid or unrelated flags that are not supported for namespace selection. Verifying pod status during the Release and Deploy stage is essential to ensure that applications have been deployed successfully and are running as expected before exposing services or proceeding to monitoring. This step supports deployment validation and operational readiness in Kubernetes-based DevSecOps environments.
NEW QUESTION # 24
Leila Moradi, a DevSecOps engineer at a Toronto healthcare SaaS provider, must ensure her Kubernetes cluster restricts pods from running as root and prevents privilege escalation within containers, enforced automatically at admission time. Which Kubernetes construct should Leila use?
Answer: B
Explanation:
Pod Security Admission (the successor to the deprecated PodSecurityPolicy) enforces Pod Security Standards at the namespace level, allowing administrators to require that pods run under
"restricted" or "baseline" profiles that block running as root, disallow privilege escalation, and restrict dangerous capabilities -- all enforced automatically at admission time before a pod is scheduled, matching Leila's requirement exactly. NetworkPolicy controls network traffic flow between pods and namespaces but has no bearing on container user privileges or root access.
The Horizontal Pod Autoscaler automatically scales the number of pod replicas based on resource utilization metrics, unrelated to security enforcement. A ConfigMap stores non-sensitive configuration data for consumption by pods and provides no admission-time security enforcement. Because Leila needs automatic, admission-time enforcement against root execution and privilege escalation, Pod Security Admission/Standards is correct.
NEW QUESTION # 25
(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 # 26
(Rachel McAdams has been working as a senior DevSecOps engineer in an IT company for the past 5 years.
Her organization embraced AWS cloud service due to robust security and cost-effective features offered by it.
To take proactive decisions related to the security issues and to minimize the overall security risk, Rachel integrated ThreatModeler with AWS. ThreatModeler utilizes various services in AWS to produce a robust threat model. How can Rachel automatically generate the threat model of her organization's current AWS environment in ThreatModeler?.)
Answer: B
Explanation:
ThreatModeler'sAcceleratorcapability allows automatic generation of threat models directly from an organization's live AWS environment. It connects to AWS services, analyzes deployed resources, and converts them into architectural diagrams and threat models without manual input. YAML-based orchestration tools and STRIDE per Element are methodologies used for modeling but do not automatically ingest live cloud configurations. Architect is a design construct, not an automation engine. Using Accelerator during the Plan stage enables proactive, continuous threat modeling, ensuring that evolving cloud infrastructure is always assessed for risk and security gaps.
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NEW QUESTION # 27
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