Dell EMC D-SF-A-24 Exam Questions - Navigate Your Path to Success

The Dell EMC Dell Security Foundations Achievement (D-SF-A-24) exam is a good choice and if the candidate manages to pass Dell EMC Dell Security Foundations Achievement exam, he/she will earn Dell EMC Security Foundations Certification. Below are some essential facts for Dell EMC D-SF-A-24 exam candidates:

TrendyCerts offers 20 Questions that are based on actual Dell EMC D-SF-A-24 syllabus.
Our Dell EMC D-SF-A-24 Exam Practice Questions were last updated on: Mar 04, 2025

Sample Questions for Dell EMC D-SF-A-24 Exam Preparation

Question 1

The cybersecurity team must create a resilient security plan to address threats. To accomplish this, the threat intelligence team performed a thorough analysis of the A .R.T.I.E. threat landscape. The result was a list of vulnerabilities such as social engineering, zero-day exploits, ransomware, phishing emails, outsourced infrastructure, and insider threats.

Using the information in the case study and the scenario for this question, which vulnerability type exposes the data and infrastructure of A.R.T.I.E .?

AMalicious insider

BZero day exploit

CRansomware

DSocial engineering

Correct : D

Options Selected by Other Users:

Question 2

The security team recommends the use of User Entity and Behavior Analytics (UEBA) in order to monitor and detect unusual traffic patterns, unauthorized data access, and malicious activity of A .R.T.I.E. The monitored entities include A .R.T.I.E. processes, applications, and network devices Besides the use of UEBA, the security team suggests a customized and thorough implementation plan for the organization.

What are the key attributes that define UEBA?

AUser analytics, threat detection, and data.

BUser analytics, encryption, and data.

CEncryption, automation, and data.

DAutomation, user analytics, and data.

Correct : A

User Analytics: UEBA systems analyze user behavior to establish a baseline of normal activities and detect anomalies12.

Threat Detection: By monitoring for deviations from the baseline, UEBA can detect potential security threats, such as compromised accounts or insider threats12.

Data Analysis: UEBA solutions ingest and analyze large volumes of data from various sources within the organization to identify suspicious activities12.

Behavioral Analytics: UEBA uses behavioral analytics to understand how users typically interact with the organization's systems and data12.

Machine Learning and Automation: Advanced machine learning algorithms and automation are employed to refine the analysis and improve the accuracy of anomaly detection over time12.

UEBA is essential for A .R.T.I.E. as it provides a comprehensive approach to security monitoring, which is critical given the diverse and dynamic nature of their user base and the complexity of their IT environment12.