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What are two effects of enabling auto-cache in a FortiAnalyzer report? (Choose two.)
A. The size of newly generated reports is optimized to conserve disk space.
B. The generation time for reports is decreased.
C. When new logs are received, the hard-cache data is updated automatically.
D. FortiAnalyzer local cache is used to store generated reports.
Answer: B,D
Explanation:
Enabling auto-cache in FortiAnalyzer reports is designed to improve the efficiency and speed of report generation by leveraging cached data. Let's analyze each option to determine which effects are correct.
* Option A - The Generation Time for Reports is Decreased:
* When auto-cache is enabled, FortiAnalyzer can use previously cached data instead of reprocessing all log data from scratch each time a report is generated. This results in faster report generation times, especially for recurring reports that use similar datasets.
* Conclusion: Correct.
* Option B - Hard-Cache Data is Automatically Updated When New Logs are Received:
* Enabling auto-cache does not immediately update the cache with every new log received. Instead, the cache is updated when reports are generated, based on the existing logs up to that point.
Therefore, auto-cache does not constantly refresh with each incoming log, which would be inefficient.
* Conclusion: Incorrect.
* Option C - FortiAnalyzer Local Cache is Used to Store Generated Reports:
* Auto-cache utilizes FortiAnalyzer's local cache to store data used in reports, reducing the need to retrieve and process logs repeatedly. This cached data can be reused for subsequent report generation, enhancing performance.
* Conclusion: Correct.
* Option D - The Size of Newly Generated Reports is Optimized to Conserve Disk Space:
* Auto-cache does not directly impact the size of the report files themselves. It focuses on performance optimization through cached data for faster access, but it does not compress or optimize the storage size of the generated report.
* Conclusion: Incorrect.
Conclusion:
* Correct Answer: A. The generation time for reports is decreased and C. FortiAnalyzer local cache is used to store generated reports.
* Enabling auto-cache helps reduce report generation time by using locally cached data and optimizes report processing, though it does not impact report size or continuously update with each new log.
References:
FortiAnalyzer 7.4.1 documentation on report caching, auto-cache functionality, and report generation optimizations.
NEW QUESTION # 45
Which statement regarding macros on FortiAnalyzer is true?
A. Macros are useful in generating excel log files automatically based on the report settings.
B. Macros are predefined templates for reports and cannot be customized.
C. Macros are ADOM-specific and each ADOM type have unique macros relevant to that ADOM.
D. Macros are supported only on the FortiGate ADOMs.
Answer: C
Explanation:
Macros on FortiAnalyzer are predefined or custom query templates used in reports, and they are organized by ADOM (Administrative Domain). When using ADOMs, you must be in the correct ADOM to create or manage macros, indicating that macros are ADOM-specific and tailored to the device types or datasets relevant to that ADOM. https://docs.fortinet.com/docume ... de/617380/creating- macros
NEW QUESTION # 46
As part of your analysis, you discover that a Medium severity level incident is fully remediated.
You change the incident status to Closed:Remediated.
Which statement about your update is true?
A. The corresponding event will be marked as Mitigated.
B. The incident dashboard will be updated.
C. The incident can no longer be deleted.
D. The incident severity will be lowered.
Answer: B
NEW QUESTION # 47
What is the purpose of using data selectors when configuring event handlers?
A. They filter the types of logs that FortiAnalyzer can accept from registered devices.
B. They download new filters can be used in event handlers.
C. They are common filters that can be applied simultaneously to all event handlers.
D. They apply their filter criteria to the entire event handler so that you don't have to configure the same criteria in the individual rules.
Answer: D
NEW QUESTION # 48
Refer to Exhibit:
What does the data point at 21:20 indicate?
A. The fortilogd daemon is ahead in indexing by one log.
B. FortiAnalyzer is indexing logs faster than logs are being received.
C. The SQL database requires a rebuild because of high receive lag.
D. FortiAnalyzer is temporarily buffering received logs so older logs can be indexed first.
Answer: B
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.
* Option Analysis:
* Option A - FortiAnalyzer is Indexing Logs Faster Than Logs are Being Received: This accurately describes the scenario at 21:20, where the Insert Rate exceeds the Receive Rate. This indicates that FortiAnalyzer is handling logs efficiently at that moment, with no backlog in processing.
* Option B - The fortilogd Daemon is Ahead in Indexing by One Log: The data does not provide specific information about the fortilogd daemon's log count, only the rates. This option is incorrect.
* Option C - SQL Database Requires a Rebuild: High receive lag would imply a backlog in receiving and indexing logs, typically visible if the Receive Rate were significantly above the Insert Rate, which is not the case here.
* Option D - FortiAnalyzer is Temporarily Buffering Logs to Index Older Logs First: There is no indication of buffering in this scenario. Buffering would usually occur if the Receive Rate were higher than the Insert Rate, indicating that FortiAnalyzer is storing logs temporarily due to indexing lag.
Conclusion:
* Correct Answer: A. FortiAnalyzer is indexing logs faster than logs are being received.
* The graph at 21:20 shows a higher Insert Rate than Receive Rate, indicating efficient log processing by FortiAnalyzer.
References:
FortiAnalyzer 7.4.1 documentation on log processing metrics, Receive Rate, and Insert Rate indicators.
NEW QUESTION # 49
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