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| Section | Objectives |
|---|---|
| Topic 1: Threat Intelligence and Response | - MITRE ATT&CK framework application - Incident response and mitigation strategies |
| Topic 2: Security Operations and SOC Fundamentals | - Cybersecurity landscape and threat detection concepts - SOC workflows and incident investigation using Splunk |
| Topic 3: Data Analysis and Investigation | - Search Processing Language (SPL) basics for investigations - Event investigation and log analysis |
| Topic 4: Splunk Enterprise Security Fundamentals | - Risk-based alerting and threat analysis - Notable events and correlation searches |
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NEW QUESTION # 21
An analyst discovers she has only raw data from a source. She believes that it could be of great value to future analysis efforts if it were available to existing correlation searches and reports.
What process should the analyst suggest be performed for that source?
Answer: B
Explanation:
By mapping your raw source fields into the CIM using a dedicated add-on (or by creating one), you normalize that data into the standard field names and values that Enterprise Security's correlation searches and reports expect. This makes the new data source immediately usable in existing ES content.
NEW QUESTION # 22
A Risk Rule generates events on Suspicious Cloud Share Activity and regularly contributes to confirmed incidents from Risk Notables. An analyst realizes the raw logs these events are generated from contain information which helps them determine what might be malicious.
What should they ask their engineer for to make their analysis easier?
Answer: A
NEW QUESTION # 23
Rotating the encryption keys used by a public web server after a security incident is most closely linked to which security concept?
Answer: B
Explanation:
Confidentiality ensures that sensitive information is accessible only to authorized users. Rotating encryption keys helps protect against unauthorized access to data, especially after a security incident, by ensuring that previously compromised keys can no longer be used to decrypt communications.
NEW QUESTION # 24
A threat hunter is analyzing incoming emails during the past 30 days, looking for spam or phishing campaigns targeting many users. This involves finding large numbers of similar, but not necessarily identical, emails.
The hunter extracts key datapoints from each email record, including the sender's address, recipient's address, subject, embedded URLs, and names of any attachments. Using the Splunk App for Data Science and Deep Learning, they then visualize each of these messages as points on a graph, looking for large numbers of points that occur close together.
This is an example of what type of threat-hunting technique?
Answer: A
Explanation:
By representing each email as a point in a multi_dimensional space (based on sender, recipient, subject, URLs, attachments, etc.) and then identifying groups of points that lie close together, the hunter is using clustering to find batches of similar emails indicative of a campaign.
NEW QUESTION # 25
A threat hunter generates a report containing the list of users who have logged in to a particular database during the last 6 months, along with the number of times they have each authenticated.
They sort this list and remove any user names who have logged in more than 6 times. The remaining names represent the users who rarely log in, as their activity is more suspicious. The hunter examines each of these rare logins in detail.
This is an example of what type of threat-hunting technique?
Answer: C
NEW QUESTION # 26
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