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| Section | Objectives |
|---|---|
| Topic 1: Data Management and Indexing | - Parsing and indexing process - Data retention and lifecycle management - Index configuration and management |
| Topic 2: Search Head Architecture | - Search head clustering - Knowledge object distribution - Search performance optimization |
| Topic 3: Indexer Clustering | - Replication and search factor management - Failure recovery and resilience - Cluster master configuration |
| Topic 4: Security and Authentication | - Role-based access control (RBAC) - Authentication mechanisms - Encryption and data protection |
| Topic 5: Splunk Architecture Fundamentals | - Data flow and pipeline architecture - Distributed architecture concepts - Forwarder and indexer roles |
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NEW QUESTION # 123
Which of the following is true regarding Splunk Enterprise's performance? (Select all that apply.)
Answer: B,D
Explanation:
Explanation
The following statements are true regarding Splunk Enterprise performance:
* Adding search peers increases the search throughput as search load increases. This is because adding more search peers distributes the search workload across more indexers, which reduces the load on each indexer and improves the search speed and concurrency.
* Adding search heads provides additional CPU cores to run more concurrent searches. This is because adding more search heads increases the number of search processes that can run in parallel, which improves the search performance and scalability. The following statements are false regarding Splunk Enterprise performance:
* Adding search peers does not increase the maximum size of search results. The maximum size of search results is determined by the maxresultrows setting in the limits.conf file, which is independent of the number of search peers.
* Adding RAM to an existing search head does not provide additional search capacity. The search capacity of a search head is determined by the number of CPU cores, not the amount of RAM. Adding RAM to a search head may improve the search performance, but not the search capacity. For more information, see Splunk Enterprise performance in the Splunk documentation.
NEW QUESTION # 124
Which Splunk log file would be the least helpful in troubleshooting a crash?
Answer: D
Explanation:
The splunk_instrumentation.log file is the least helpful in troubleshooting a crash, because it contains information about the Splunk Instrumentation feature, which collects and sends usage data to Splunk Inc. for product improvement purposes. This file does not contain any information about the Splunk processes, errors, or crashes. The other options are more helpful in troubleshooting a crash, because they contain relevant information about the Splunk daemon, the standard error output, and the crash report12
1:
https://docs.splunk.com/Documentation/Splunk/9.1.2/Troubleshooting/WhatSplunklogsaboutitself#splunk_instru
https://docs.splunk.com/Documentation/Splunk/9.1.2/Troubleshooting/WhatSplunklogsaboutitself#splunkd_stde
NEW QUESTION # 125
A new Splunk customer is using syslog to collect data from their network devices on port 514. What is the best practice for ingesting this data into Splunk?
Answer: A
Explanation:
The best practice for ingesting syslog data from network devices on port 514 into Splunk is to configure syslog to write logs and use a Splunk forwarder to collect the logs. This practice will ensure that the data is reliably collected and forwarded to Splunk, without losing any data or overloading the Splunk indexer.
Configuring syslog to send the data to multiple Splunk indexers will not guarantee data reliability, as syslog is a UDP protocol that does not provide acknowledgment or delivery confirmation. Using a Splunk indexer to collect a network input on port 514 directly will not provide data reliability or load balancing, as the indexer may not be able to handle the incoming data volume or distribute it to other indexers. Using a Splunk forwarder to collect the input on port 514 and forward the data will not provide data reliability, as the forwarder may not be able to receive the data from syslog or buffer it in case of network issues. For more information, see [Get data from TCP and UDP ports] and [Best practices for syslog data] in the Splunk documentation.
NEW QUESTION # 126
How does IT Service Intelligence (ITSI) impact the planning of a Splunk deployment?
Answer: B
Explanation:
ITSI can impact the planning of a Splunk deployment depending on the Key Performance Indicators (KPIs) that are being tracked. KPIs are metrics that measure the health and performance of IT services and business processes. ITSI collects, analyzes, and displays KPI data from various data sources in Splunk. Depending on the number, frequency, and complexity of the KPIs, additional infrastructure may be needed to support the data ingestion, processing, and visualization. ITSI does not require a dedicated deployment server, nor does it affect the number of users using ITSI. ITSI in a Splunk deployment does require additional hardware resources, such as CPU, memory, and disk space, to run the ITSI components and apps
NEW QUESTION # 127
Buttercup is deploying Splunk IT Service Intelligence (ITSI). The IT department provides the following information:
Item Count
KPIs 900
Entities 1500
Glass Tables 10
Service Definitions 20
Which ITSI component is the primary factor influencing Splunk deployment sizing?
Answer: A
Explanation:
Splunk IT Service Intelligence documentation clearly identifies Key Performance Indicators (KPIs) as the dominant driver of ITSI resource consumption. KPIs generate continuous searches, threshold evaluations, anomaly detection calculations, and aggregation workloads.
Each KPI contributes to CPU utilization, search concurrency, memory usage, and storage growth through KPI summaries and historical data retention. As the number of KPIs increases, the number of concurrent background searches rises significantly, directly affecting search head and indexer performance.
Entities and service definitions primarily define metadata and relationships and have comparatively lower performance impact. Glass tables are purely visualization components and have minimal effect on backend resource sizing.
Splunk explicitly states that deployment sizing for ITSI must begin with KPI count, followed by consideration of search frequency and data volume per KPI.
Thus, the correct answer is A: The number of KPIs tracked.
References:
Splunk IT Service Intelligence Installation and Resource Planning Guide; ITSI KPI Performance Characteristics; ITSI Architecture Overview.
NEW QUESTION # 128
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