最新のCCCS-203b対応問題集 & 合格スムーズCCCS-203b認定テキスト | 最高のCCCS-203b受験記対策我々のサービスはみんなの認可を得ています。CCCS-203b問題集を購入する前のサービスといい、アフターサービスといい、きっとあなたの要求を満たすことができると信じています。我々の係員は全日24時間あなたのお問い合わせをお待ちしております。あなたは我々のCCCS-203b対策に疑問を持っているなら、あなたはいつでもどこでもオンラインで我々の係員を問い合わせたり、メールで我々のメールアドレスに送ったりすることができます。 CrowdStrike Certified Cloud Specialist 認定 CCCS-203b 試験問題 (Q357-Q362):質問 # 357
What is the most appropriate first step when creating a Falcon Fusion workflow to notify individuals about automated remediation actions?
A. Manually send an email notification to the security team.
B. Create a custom dashboard to visualize all remediation events.
C. Set up a trigger event for the workflow, such as a detection in the Falcon platform.
D. Add a conditional step to verify if the action is approved by an administrator.
正解：C
解説：
Option A: The first step in creating a Falcon Fusion workflow is to define the trigger event that initiates the workflow. This could be a specific detection type or another event in the Falcon platform. Without a trigger, the workflow has no starting point. This step ensures that the workflow activates only in response to the desired conditions.
Option B: While notifying the security team is important, manually sending emails defeats the purpose of automating workflows with Falcon Fusion. Automation is designed to streamline the response process and reduce human intervention.
Option C: Adding conditional steps for approval might be part of the workflow, but it is not the first step. Conditional logic is applied after the workflow is triggered. Focusing on triggers first is essential.
Option D: While dashboards are useful for monitoring, they are not part of creating workflows.
Dashboards visualize outcomes, whereas workflows focus on defining triggers and actions.
質問 # 358
Which statement correctly explains how Falcon Cloud Security components work together to protect cloud environments?
A. Falcon Cloud Security integrates modules like Falcon Horizon and Falcon Prevent to detect vulnerabilities and protect workloads without manual configuration.
B. Falcon Cloud Security requires users to manually correlate data between different Falcon modules to identify and remediate threats.
C. Falcon Cloud Security depends on third-party APIs for detecting and responding to misconfigurations in cloud platforms.
D. Falcon Cloud Security relies exclusively on the Falcon Overwatch team for threat detection, ignoring automated analytics.
正解：A
解説：
Option A: While the Falcon Overwatch team provides expert threat hunting, Falcon Cloud Security also relies on automated analytics and AI-based detection. This ensures a comprehensive approach to identifying and mitigating threats without solely depending on human oversight.
Option B: Falcon modules are designed to work together seamlessly, automatically correlating data to provide actionable insights. Manual correlation is not required, and suggesting otherwise misrepresents the platform's automation and integration capabilities.
Option C: While Falcon Cloud Security can interact with third-party APIs for extended functionality, it has native capabilities to detect misconfigurations and threats in cloud environments. This reduces dependence on external tools.
Option D: Falcon Cloud Security leverages integration with modules like Falcon Horizon for cloud posture management and Falcon Prevent for real-time prevention. These integrations streamline vulnerability detection and workload protection without requiring extensive manual configuration.
質問 # 359
What is a primary use case of the Falcon Container Sensor in a Kubernetes cluster?
A. To provide runtime protection and detect threats within containerized workloads.
B. To perform static analysis of container images during the build phase.
C. To replace Kubernetes' native logging and monitoring tools with Falcon's services.
D. To manage Kubernetes cluster scaling based on security alerts.
正解：A
解説：
Option A: Static analysis of container images is handled by tools like CrowdStrike Falcon Image Assessment, not the Falcon Container Sensor. The sensor focuses on runtime security within the deployed Kubernetes cluster.
Option B: Cluster scaling is not within the scope of the Falcon Container Sensor. Kubernetes handles scaling through mechanisms like Horizontal Pod Autoscaler or Cluster Autoscaler.
Option C: The Falcon Container Sensor is not a replacement for Kubernetes' logging and monitoring tools. It complements these tools by focusing on security aspects such as threat detection and runtime protection.
Option D: The Falcon Container Sensor provides runtime protection for containerized workloads, detecting threats, vulnerabilities, and anomalous behaviors in real time. This ensures that active workloads in a Kubernetes cluster are continuously monitored and secured against attacks.
質問 # 360
You are using the Packages dashboard to identify all Python packages found on assessed container images. You must provide a list of those packages to a team member who is not a Falcon user.
Which option meets these requirements?
A. Filter by package type: PYTHON and export to CSV or JSON
B. Filter by package name & version: PYTHON and export to CSV or JSON
C. Filter by package name & version: PYTHON and create a saved filter for your team member to view
D. Filter by package type: PYTHON and create a saved filter for your team member to view
正解：A
解説：
InFalcon Cloud Security, thePackages dashboardallows filtering package inventory bypackage type, such as Python, Java, or OS-level packages.
To share results with a team memberwho is not a Falcon user, the data must be exported. Creating saved filters does not grant access to non-users. Filtering bypackage type: PYTHONensures all Python-related packages are included regardless of name or version, providing complete coverage.
Exporting the filtered results toCSV or JSONenables easy sharing, offline analysis, and integration into other tools.
Therefore, the correct option isFilter by package type: PYTHON and export to CSV or JSON.
質問 # 361
What is required to ensure you can retrieve the Falcon KAC image when deploying the Falcon Kubernetes Admission Controller (KAC) with a Helm chart?
A. FALCON_REGION
B. Docker
C. SENSOR_PLATFORM
D. API client key
正解：D
解説：
When deploying theFalcon Kubernetes Admission Controller (KAC)using aHelm chart, access to CrowdStrike-hosted container images is required. These images are stored inCrowdStrike's private container registry, which requires authentication.
To retrieve the Falcon KAC image, a validCrowdStrike API client key(client ID and secret) must be provided. This API credential allows Helm to authenticate to the Falcon registry and securely pull the required KAC image during deployment. Without valid API credentials, image retrieval fails, and the KAC deployment cannot complete successfully.
Other options listed do not satisfy this requirement. SENSOR_PLATFORM and FALCON_REGION are configuration parameters used during sensor installation but do not authenticate registry access. Docker itself is not sufficient, as authentication to the CrowdStrike registry is still required.
Therefore, anAPI client keyis mandatory to ensure successful retrieval of the Falcon KAC image during Helm-based deployment.