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| Section | Objectives |
|---|---|
| Topic 1: Security Event Management | - Event handling and correlation
|
| Topic 2: System Administration and Maintenance | - System configuration
|
| Topic 3: Reports and Analytics | - Report creation and customization
|
| Topic 4: FortiAnalyzer Deployment and Architecture | - FortiAnalyzer system architecture and components
|
| Topic 5: Log Management and Processing | - Log parsing and normalization
|
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NEW QUESTION # 68
Refer to the exhibit. What does the data point at 21:20 indicate?
Answer: A
Explanation:
The exhibit shows a graph that tracks two metrics over time: Receive Rate and Insert Rate.
These two rates are crucial for understanding the log processing behavior in FortiAnalyzer.
Understanding Receive Rate and Insert Rate:
Receive Rate: This is the rate at which FortiAnalyzer is receiving logs from connected devices.
Insert Rate: This is the rate at which FortiAnalyzer is indexing (inserting) logs into its database for storage and analysis.
Data Point at 21:20:
At 21:20, the Insert Rate line is above the Receive Rate line, indicating that FortiAnalyzer is inserting logs into its database at a faster rate than it is receiving them. This situation suggests that FortiAnalyzer is able to keep up with the incoming logs and is possibly processing a backlog or temporarily received logs faster than new logs are coming in.
NEW QUESTION # 69
Which two statements about local logs on FortiAnalyzer are true? (Choose two.)
Answer: A,D
Explanation:
Study Guide p.59: root ADOM shows local event logs; application logs are ADOM-specific.
Technical Deep Dive: The correct answers are B and D. Local event logs are available from the root ADOM and provide system-wide FortiAnalyzer information. Application logs, including logs generated by FortiAnalyzer applications such as playbooks and incident management, are ADOM-specific. Option A is wrong because local logs are accessible in Log View. Option C is wrong because playbook/application logs are not all simply placed in the root ADOM for every ADOM; non-root ADOMs show application logs relevant to that ADOM.
NEW QUESTION # 70
Exhibit.
What is the purpose of using the Chart Builder feature on FortiAnalyzer?
Answer: D
Explanation:
Exact Extract: Study Guide p.175: Chart Builder automatically builds a dataset and chart from filtered Log View search results.
Technical Deep Dive: The correct answer is D. Chart Builder is a shortcut for turning a useful filtered log search into reusable reporting content. The analyst first filters Log View to the desired data, then uses Chart Builder to create the dataset and chart automatically. Option A is wrong because it is not based on a fixed top-
100 list. Option B is incomplete because the feature creates chart/dataset objects rather than merely adding a chart to a generated report. Option C incorrectly places the output under FortiView instead of reporting libraries.
NEW QUESTION # 71
Refer to the exhibit.
What can you conclude from this output? (Choose one answer)
Answer: C
Explanation:
The FortiAnalyzer 7.6 Analyst Study Guide states that administrators can use CLI commands "to gather log rate and device usage statistics" to understand "the log volume and whether your disk quota is configured appropriately." It also explains that if log volume is too high, FortiAnalyzer may not be able to retain "analytics logs or archive logs for the amount of time configured in the ADOM." Technical Deep Dive: The correct answer is B because the exhibit shows the disk quota allocation for ADOM1 split into two major areas: Logs and Database. Under the ADOM1 row, the Logs quota is shown as 900.0 MB, and the Database quota is shown as 2.1 GB. When these are added together, the total allocated quota for ADOM1 is approximately 3 GB.
Option A is not the best answer because the output does not show that ADOM1 has exactly 300 MB of total disk space remaining. It is true that the Logs section has roughly 299 MB remaining because 900 MB quota minus 601 MB used is about 299 MB. However, the question asks what can be concluded from the whole output, and the output also includes the database quota and database usage. So treating 300 MB as the total remaining ADOM space is incomplete.
Option C is wrong because archive/log-file usage is not greater than analytic/database usage in the output. The Logs section shows about 601 MB used, while the Database section shows about 1.9 GB used. The study guide separates archive logs from analytics logs: archive logs are rolled and compressed log files, while analytics logs are indexed in the SQL database for immediate analysis. Here, the database/analytic side is using more space than the log/archive side.
Option D is wrong because the exhibit showing 0.0 KB for quarantine does not mean no quota is allocated to quarantining files. It only means quarantine usage is currently zero. The output is reporting current disk usage and quota allocation, not proving that quarantine storage is unavailable.
NEW QUESTION # 72
(When there are no matching parsers for a device log, what does FortiAnalyzer do? (Choose one answer))
Answer: A
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of knowledge of FortiAnalyzer 7.6 Study guide documents:
FortiAnalyzer's ingestion pipeline does not "drop" logs simply because a parser is unavailable. The study guide states that when devices send logs, "Logs received are decompressed and saved in a log file on the FortiAnalyzer disk" (with a .log extension). This establishes that the raw log is still accepted and stored on disk as part of the normal workflow.
Normalization, however, depends on having a suitable parser. The study guide explains that "FortiAnalyzer uses predefined parsers to extract key fields from ingested logs and maps them to a consistent, standardized set of field names." It further emphasizes that "Log parsers ... are central to log normalization" because they convert unstructured/native logs into a standardized schema.
Therefore, if no matching parser exists for a given device log, FortiAnalyzer can still store the incoming log (it is received, decompressed, and written to disk), but it cannot perform the "extract key fields" and "map to standardized field names" steps required for normalization. In practical terms, the log remains in its native
/unstructured form (not normalized), which aligns exactly with option C.
NEW QUESTION # 73
......
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