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| Section | Objectives |
|---|---|
| Splunk Architecture Fundamentals | - Data flow and pipeline architecture - Forwarder and indexer roles - Distributed architecture concepts |
| Search Head Architecture | - Search head clustering - Search performance optimization - Knowledge object distribution |
| Security and Authentication | - Authentication mechanisms - Encryption and data protection - Role-based access control (RBAC) |
| Data Management and Indexing | - Data retention and lifecycle management - Index configuration and management - Parsing and indexing process |
| Indexer Clustering | - Replication and search factor management - Failure recovery and resilience - Cluster master configuration |
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NEW QUESTION # 68
Which of the following tasks should the architect perform when building a deployment plan? (Select all that apply.)
Answer: A,C,D
Explanation:
Explanation
When building a deployment plan, the architect should perform the following tasks:
* Use case checklist. A use case checklist is a document that lists the use cases that the deployment will support, along with the data sources, the data volume, the data retention, the data model, the dashboards, the reports, the alerts, and the roles and permissions for each use case. A use case checklist helps to define the scope and the functionality of the deployment, and to identify the dependencies and the requirements for each use case1
* Inventory data sources. An inventory of data sources is a document that lists the data sources that the deployment will ingest, along with the data type, the data format, the data location, the data collection method, the data volume, the data frequency, and the data owner for each data source. An inventory of data sources helps to determine the data ingestion strategy, the data parsing and enrichment, the data storage and retention, and the data security and compliance for the deployment1
* Review network topology. A review of network topology is a process that examines the network infrastructure and the network connectivity of the deployment, along with the network bandwidth, the network latency, the network security, and the network monitoring for the deployment. A review of network topology helps to optimize the network performance and reliability, and to identify the network risks and mitigations for the deployment1 Installing Splunk apps is not a task that the architect should perform when building a deployment plan, as it is a task that the administrator should perform when implementing the deployment plan. Installing Splunk apps is a technical activity that requires access to the Splunk instances and the Splunk configurations, which are not available at the planning stage
NEW QUESTION # 69
Other than high availability, which of the following is a benefit of search head clustering?
Answer: B
Explanation:
According to the Splunk documentation1, one of the benefits of search head clustering is the automatic replication of user knowledge objects, such as dashboards, reports, alerts, and tags. This ensures that all cluster members have the same set of knowledge objects and can serve the same search results to the users.
The other options are false because:
* Allowing indexers to maintain multiple searchable copies of all data is a benefit of indexer clustering, not search head clustering2.
* Input settings are not synchronized between search heads, as search head clusters do not collect data from inputs. Data collection is done by forwarders or independent search heads3.
* Fewer network ports are not required to be opened between search heads, as search head clusters use several ports for communication and replication among the members4.
NEW QUESTION # 70
In a distributed environment, knowledge object bundles are replicated from the search head to which location on the search peer(s)?
Answer: C
Explanation:
In a distributed environment, knowledge object bundles are replicated from the search head to the SPLUNK_HOME/var/run/searchpeers directory on the search peer(s). A knowledge object bundle is a compressed file that contains the knowledge objects, such as fields, lookups, macros, and tags, that are required for a search. A search peer is a Splunk instance that provides data to a search head in a distributed search. A search head is a Splunk instance that coordinates and executes a search across multiple search peers.
When a search head initiates a search, it creates a knowledge object bundle and replicates it to the search peers that are involved in the search. The search peers store the knowledge object bundle in the SPLUNK_HOME/var/run/searchpeers directory, which is a temporary directory that is cleared when the Splunk service restarts. The search peers use the knowledge object bundle to apply the knowledge objects to the data and return the results to the search head. The SPLUNK_HOME/var/lib/searchpeers, SPLUNK_HOME/var/log/searchpeers, and SPLUNK_HOME/var/spool/searchpeers directories are not the locations where the knowledge object bundles are replicated, because they do not exist in the Splunk file system
NEW QUESTION # 71
When configuring a Splunk indexer cluster, what are the default values for replication and search factor?
Answer: A
NEW QUESTION # 72
Which of the following is an indexer clustering requirement?
Answer: C
NEW QUESTION # 73
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