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| Section | Weight | Objectives |
|---|---|---|
| Measuring and Improving Security Program Effectiveness | 15% | - Security metrics and performance
|
| Security Capability Selection, Placement and Configuration | 15% | - Security control architecture
|
| Advanced Threat Intelligence and Analysis | 5% | - Threat intelligence architecture
|
| Security Data Management | 20% | - Data architecture design
|
| Governance, Risk and Compliance | 10% | - Security governance
|
| Advanced Automation and Orchestration | 10% | - SOAR architecture
|
| Scaling Cybersecurity Defenses and DevSecOps | 15% | - Security architecture at scale
|
| Advanced Incident Response and Management | 10% | - Incident response architecture
|
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NEW QUESTION # 147
During a SOC process and workflow review, the SOC manager observes that the analysts are spending a great deal of time jumping between the EDR, remote access, and IAM consoles to contextualize a finding. Which of the following will reduce the time to resolution with these issues in mind?
Answer: A
Explanation:
Automating initial triage and presenting the results in the finding reduces the need for analysts to manually switch between EDR, remote access, and IAM consoles. This speeds investigation by collecting and correlating relevant context up front, helping analysts reach a decision and resolve the issue faster.
NEW QUESTION # 148
A threat hunter is looking for suspicious login activity across multiple different authentication systems and cloud providers. Today, the threat hunter has to query multiple different data sources with unique logic to gather basic information about authentication events. What method provides a simple way to standardize data formats, and look for common activity across different sources?
Answer: C
Explanation:
Data normalization standardizes fields and event structures across different authentication systems and cloud providers. This allows threat hunters to search for common login activity using consistent field names and logic instead of writing separate queries for each unique data source.
NEW QUESTION # 149
Which of the following best explains how quantifying the financial impact of a cybersecurity incident can help justify and secure additional budget for the cybersecurity team? (Choose all that apply.)
Answer: A
Explanation:
Quantifying financial impact translates cybersecurity risk into business terms, showing how investment can reduce expected losses from incidents. This makes it easier to justify additional budget by demonstrating potential cost avoidance, risk reduction, and measurable business value.
NEW QUESTION # 150
A U.S. based company has recently purchased a German company. The U.S. organization is planning to consolidate their customer rewards program globally and begin collecting purchasing information on the German customers to send back to their U.S. data center. Which data privacy law would they violate if they did not update the German End User Agreement?
Answer: B
Explanation:
GDPR applies to personal data of individuals in Germany and the broader European Union.
Collecting German customers' purchasing information and transferring it to a U.S. data center would require appropriate notice, consent or lawful basis, and updated user agreement terms covering the new processing and transfer.
NEW QUESTION # 151
Which architecture decision best supports multi-tenancy in a Splunk deployment shared across several business units with strict data segregation requirements?
Answer: C
Explanation:
Combining index-level segregation with role-based access controls provides both a hard data boundary and enforced access policy, which is the recommended approach for strict multi-tenant data segregation.
NEW QUESTION # 152
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