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Splunk SPLK-2002 Exam Syllabus Topics:

SectionObjectives
Topic 1: Troubleshooting a Splunk Deployment- Explain the use of internal logs
- Describe troubleshooting techniques
- Identify common issues and error messages
Topic 2: Configuring Distributed Search- Define search head clustering
- Explain the role of search heads and indexers
- Describe the operation of distributed search
Topic 3: Managing Search Heads- Describe the deployment of apps to search heads
- Describe search head pooling and clustering
- Explain the configuration of search heads
Topic 4: Managing Indexers and Indexer Clusters- Explain the management of indexer configurations
- Describe methods for troubleshooting indexer clusters
- Describe indexer cluster architecture
Topic 5: Data Collection and Ingestion- Describe data collection techniques
- Explain the use of Indexers and Heavy Forwarders
- Describe data routing and filtering
Topic 6: Monitoring and Scaling a Splunk Deployment- Explain resource allocation and performance tuning
- Identify monitoring tools and dashboards
- Describe scaling strategies
Topic 7: Managing Forwarders- Describe the types of forwarders
- Explain forwarder management
- Identify configuration methods
Topic 8: Planning and Designing a Splunk Deployment- Describe the key planning and design considerations
- List the data and resource requirements
- Determine the appropriate license volume and type
Topic 9: Introducing Splunk Architecture- Identify Splunk components
- Describe the relationship between components
- Identify the roles of each component

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Splunk Enterprise Certified Architect Sample Questions (Q92-Q97):

NEW QUESTION # 92
Stakeholders have identified high availability for searchable data as their top priority. Which of the following
best addresses this requirement?

Answer: B

Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.2/DistSearch/SHCarchitecture


NEW QUESTION # 93
When configuring a Splunk indexer cluster, what are the default values for replication and search factor?
replication_factor = 2

Answer: A

Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.2/Indexer/Thesearchfactor


NEW QUESTION # 94
A Splunk deployment is being architected and the customer will be using Splunk Enterprise Security (ES) and Splunk IT Service Intelligence (ITSI). Through data onboarding and sizing, it is determined that over 200 discrete KPIs will be tracked by ITSI and 1TB of data per day by ES. What topology ensures a scalable and performant deployment?

Answer: C

Explanation:
The correct topology to ensure a scalable and performant deployment for the customer's use case is two search head clusters, one for ITSI and one for ES. This configuration provides high availability, load balancing, and isolation for each Splunk app. According to the Splunk documentation1, ITSI and ES should not be installed on the same search head or search head cluster, as they have different requirements and may interfere with each other. Having two separate search head clusters allows each app to have its own dedicated resources and configuration, and avoids potential conflicts and performance issues1. The other options are not recommended, as they either have only one search head or search head cluster, which reduces the availability and scalability of the deployment, or they have both ITSI and ES installed on the same search head or search head cluster, which violates the best practices and may cause problems. Therefore, option B is the correct answer, and options A, C, and D are incorrect.
1: Splunk IT Service Intelligence and Splunk Enterprise Security compatibility


NEW QUESTION # 95
A customer plans to ingest 600 GB of data per day into Splunk. They will have six concurrent users, and they also want high data availability and high search performance. The customer is concerned about cost and wants to spend the minimum amount on the hardware for Splunk. How many indexers are recommended for this deployment?

Answer: A

Explanation:
Two indexers clustered is the recommended deployment for a customer who plans to ingest 600 GB of data per day into Splunk, has six concurrent users, and wants high data availability and high search performance.
This deployment will provide enough indexing capacity and search concurrency for the customer's needs, while also ensuring data replication and searchability across the cluster. The customer can also save on the hardware cost by using only two indexers. Two indexers not in a cluster will not provide high data availability, as there is no data replication or failover. Three indexers not in a cluster will provide more indexing capacity and search concurrency, but also more hardware cost and no data availability. The customer's data retention period, number of long searches, or volume of saved/scheduled searches are not relevant for determining the number of indexers. For more information, see [Reference hardware] and [About indexer clusters and index replication] in the Splunk documentation.


NEW QUESTION # 96
When should multiple search pipelines be enabled?

Answer: D

Explanation:
Multiple search pipelines should be enabled only if CPU and memory resources are significantly under-utilized. Search pipelines are the processes that execute search commands and return results. Multiple search pipelines can improve the search performance by running concurrent searches in parallel. However, multiple search pipelines also consume more CPU and memory resources, which can affect the overall system performance. Therefore, multiple search pipelines should be enabled only if there are enough CPU and memory resources available, and if the system is not bottlenecked by disk I/O or network bandwidth. The number of concurrent users, the disk IOPS, and the Splunk Enterprise version are not relevant factors for enabling multiple search pipelines


NEW QUESTION # 97
......

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