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| Section | Objectives |
|---|
| Topic 1: Managing Indexers and Indexer Clusters | - Describe indexer cluster architecture - Describe methods for troubleshooting indexer clusters - Explain the management of indexer configurations
|
| Topic 2: Managing Search Heads | - Describe the deployment of apps to search heads - Explain the configuration of search heads - Describe search head pooling and clustering
|
| Topic 3: Monitoring and Scaling a Splunk Deployment | - Explain resource allocation and performance tuning - Identify monitoring tools and dashboards - Describe scaling strategies
|
| Topic 4: Troubleshooting a Splunk Deployment | - Describe troubleshooting techniques - Identify common issues and error messages - Explain the use of internal logs
|
| Topic 5: Data Collection and Ingestion | - Explain the use of Indexers and Heavy Forwarders - Describe data routing and filtering - Describe data collection techniques
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| Topic 6: Configuring Distributed Search | - Describe the operation of distributed search - Define search head clustering - Explain the role of search heads and indexers
|
| Topic 7: Introducing Splunk Architecture | - Identify Splunk components - Describe the relationship between components - Identify the roles of each component
|
| Topic 8: Managing Forwarders | - Identify configuration methods - Describe the types of forwarders - Explain forwarder management
|
| Topic 9: Planning and Designing a Splunk Deployment | - Determine the appropriate license volume and type - List the data and resource requirements - Describe the key planning and design considerations
|
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Splunk Enterprise Certified Architect Sample Questions (Q129-Q134):
NEW QUESTION # 129
How does the average run time of all searches relate to the available CPU cores on the indexers?
- A. Average run time increases as the number of CPU cores on the indexers decreases.
- B. Average run time is independent of the number of CPU cores on the indexers.
- C. Average run time increases as the number of CPU cores on the indexers increases.
- D. Average run time decreases as the number of CPU cores on the indexers decreases.
Answer: A
Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.2/Capacity/
Accommodatemanysimultaneoussearches
NEW QUESTION # 130
What is the expected minimum amount of storage required for data across an indexer cluster with the following input and parameters?
* Raw data = 15 GB per day
* Index files = 35 GB per day
* Replication Factor (RF) = 2
* Search Factor (SF) = 2
- A. 85 GB per day
- B. 100 GB per day
- C. 50 GB per day
- D. 65 GB per day
Answer: B
Explanation:
The correct answer is C. 100 GB per day. This is the expected minimum amount of storage required for data across an indexer cluster with the given input and parameters. The storage requirement can be calculated by adding the raw data size and the index files size, and then multiplying by the Replication Factor and the Search Factor1. In this case, the calculation is:
(15 GB + 35 GB) x 2 x 2 = 100 GB
The Replication Factor is the number of copies of each bucket that the cluster maintains across the set of peer nodes2. The Search Factor is the number of searchable copies of each bucket that the cluster maintains across the set of peer nodes3. Both factors affect the storage requirement, as they determine how many copies of the data are stored and searchable on the indexers. The other options are not correct, as they do not match the result of the calculation. Therefore, option C is the correct answer, and options A, B, and D are incorrect.
1: Estimate storage requirements 2: About indexer clusters and index replication 3: Configure the search factor
NEW QUESTION # 131
Which of the following can a Splunk diag contain?
- A. Server specs, current open connections, internal Splunk log files, index listings
- B. KV store listings, internal Splunk log files, search peer bundles listings, indexed data
- C. Search history, Splunk users and their roles, running processes, indexed data
- D. Splunk platform configuration details, Splunk users and their roles, current open connections, index listings
Answer: A
NEW QUESTION # 132
Stakeholders have identified high availability for searchable data as their top priority. Which of the following best addresses this requirement?
- A. Increasing the search factor in the cluster.
- B. Increasing the number of CPUs on the indexers in the cluster.
- C. Increasing the number of search heads in the cluster.
- D. Increasing the replication factor in the cluster.
Answer: D
NEW QUESTION # 133
Consider a use case involving firewall data. There is no Splunk-supported Technical Add-On, but the vendor has built one. What are the items that must be evaluated before installing the add-on? (Select all that apply.)
- A. Identify the maximum number of forwarders Technical Add-On can support.
- B. Verify if Technical Add-On needs to be installed onto both a search head or indexer.
- C. Identify number of scheduled or real-time searches.
- D. Validate if this Technical Add-On enables event data for a data model.
Answer: C,D
Explanation:
A Technical Add-On (TA) is a Splunk app that contains configurations for data collection, parsing, and enrichment. It can also enable event data for a data model, which is useful for creating dashboards and reports.
Therefore, before installing a TA, it is important to identify the number of scheduled or real-time searches that will use the data model, and to validate if the TA enables event data for a data model. The number of forwarders that the TA can support is not relevant, as the TA is installed on the indexer or search head, not on the forwarder. The installation location of the TA depends on the type of data and the use case, so it is not a fixed requirement
NEW QUESTION # 134
......
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