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Splunk SPLK-2002 Exam Syllabus Topics:

SectionObjectives
Data Management and Indexing- Parsing and indexing process
- Index configuration and management
- Data retention and lifecycle management
Search Head Architecture- Search head clustering
- Knowledge object distribution
- Search performance optimization
Security and Authentication- Encryption and data protection
- Role-based access control (RBAC)
- Authentication mechanisms
Indexer Clustering- Failure recovery and resilience
- Cluster master configuration
- Replication and search factor management
Splunk Architecture Fundamentals- Distributed architecture concepts
- Forwarder and indexer roles
- Data flow and pipeline architecture

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Splunk Enterprise Certified Architect Sample Questions (Q149-Q154):

NEW QUESTION # 149
Which of the following items are important sizing parameters when architecting a Splunk environment? (select all that apply)

Answer: B,C,D

Explanation:
* Number of concurrent users: This is an important factor because it affects the search performance and resource utilization of the Splunk environment. More users mean more concurrent searches, which require more CPU, memory, and disk I/O. The number of concurrent users also determines the search head capacity and the search head clustering configuration12
* Volume of incoming data: This is another crucial factor because it affects the indexing performance and storage requirements of the Splunk environment. More data means more indexing throughput, which requires more CPU, memory, and disk I/O. The volume of incoming data also determines the indexer capacity and the indexer clustering configuration13
* Existence of premium apps: This is a relevant factor because some premium apps, such as Splunk
* Enterprise Security and Splunk IT Service Intelligence, have additional requirements and recommendations for the Splunk environment. For example, Splunk Enterprise Security requires a dedicated search head cluster and a minimum of 12 CPU cores per search head. Splunk IT Service Intelligence requires a minimum of 16 CPU cores and 64 GB of RAM per search head45 References:
1: Splunk Validated Architectures 2: Search head capacity planning 3: Indexer capacity planning 4: Splunk Enterprise Security Hardware and Software Requirements 5: [Splunk IT Service Intelligence Hardware and Software Requirements]


NEW QUESTION # 150
Which of the following is a valid use case that a search head cluster addresses?

Answer: B

Explanation:
The correct answer is C. Knowledge Object replication. This is a valid use case that a search head cluster addresses, as it ensures that all the search heads in the cluster have the same set of knowledge objects, such as saved searches, dashboards, reports, and alerts1. The search head cluster replicates the knowledge objects across the cluster members, and synchronizes any changes or updates1. This provides a consistent user experience and avoids data inconsistency or duplication1. The other options are not valid use cases that a search head cluster addresses. Option A, providing redundancy in the event a search peer fails, is not a use case for a search head cluster, but for an indexer cluster, which maintains multiple copies of the indexed data and can recover from indexer failures2. Option B, search affinity, is not a use case for a search head cluster, but for a multisite indexer cluster, which allows the search heads to preferentially search the data on the local site, rather than on a remote site3. Option D, increased Search Factor (SF), is not a use case for a search head cluster, but for an indexer cluster, which determines how many searchable copies of each bucket are maintained across the indexers4. Therefore, option C is the correct answer, and options A, B, and D are incorrect.
1: About search head clusters 2: About indexer clusters and index replication 3: Configure search affinity 4:
Configure the search factor


NEW QUESTION # 151
When designing the number and size of indexes, which of the following considerations should be applied?

Answer: D

Explanation:
When designing the number and size of indexes, the following considerations should be applied:
* Expected daily ingest volumes: This is the amount of data that will be ingested and indexed by the Splunk platform per day. This affects the storage capacity, the indexing performance, and the license usage of the Splunk deployment. The number and size of indexes should be planned according to the expected daily ingest volumes, as well as the peak ingest volumes, to ensure that the Splunk deployment can handle the data load and meet the business requirements12.
* Data retention time policies: This is the duration for which the data will be stored and searchable by the Splunk platform. This affects the storage capacity, the data availability, and the data compliance of the Splunk deployment. The number and size of indexes should be planned according to the data retention time policies, as well as the data lifecycle, to ensure that the Splunk deployment can retain the data for the desired period and meet the legal or regulatory obligations13.
* Access controls: This is the mechanism for granting or restricting access to the data by the Splunk users or roles. This affects the data security, the data privacy, and the data governance of the Splunk deployment. The number and size of indexes should be planned according to the access controls, as well as the data sensitivity, to ensure that the Splunk deployment can protect the data from unauthorized or inappropriate access and meet the ethical or organizational standards14.
Option D is the correct answer because it reflects the most relevant and important considerations for designing the number and size of indexes. Option A is incorrect because the number of concurrent users is not a direct factor for designing the number and size of indexes, but rather a factor for designing the search head capacity and the search head clustering configuration5. Option B is incorrect because the number of installed apps is not a direct factor for designing the number and size of indexes, but rather a factor for designing the app compatibility and the app performance. Option C is incorrect because it omits the expected daily ingest volumes, which is a crucial factor for designing the number and size of indexes.
References:
1: Splunk Validated Architectures 2: [Indexer capacity planning] 3: [Set a retirement and archiving policy for your indexes] 4: [About securing Splunk Enterprise] 5: [Search head capacity planning] : [App installation and management overview]


NEW QUESTION # 152
Which Splunk server role regulates the functioning of indexer cluster?

Answer: D

Explanation:
Explanation
The master node is the Splunk server role that regulates the functioning of the indexer cluster. The master node coordinates the activities of the peer nodes, such as data replication, data searchability, and data recovery. The master node also manages the cluster configuration bundle and distributes it to the peer nodes. The indexer is the Splunk server role that indexes the incoming data and makes it searchable. The deployer is the Splunk server role that distributes apps and configuration updates to the search head cluster members. The monitoring console is the Splunk server role that monitors the health and performance of the Splunk deployment. For more information, see About indexer clusters and index replication in the Splunk documentation.


NEW QUESTION # 153
Which of the following describe migration from single-site to multisite index replication?

Answer: C

Explanation:
Migration from single-site to multisite index replication only affects new data, not existing data. Multisite policies apply to new data only, meaning that data that is ingested after the migration will follow the multisite replication and search factors. Existing data, or data that was ingested before the migration, will retain the single-site policies, unless they are manually converted to multisite buckets. Single-site buckets do not instantly receive the multisite policies, nor do they automatically convert to multisite buckets. Multisite total values can exceed any single-site factors, as long as they do not exceed the number of peer nodes in the cluster. A master node is not required at each site, only one master node is needed for the entire cluster


NEW QUESTION # 154
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