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| Certification Vendor: | Splunk |
|---|---|
| Exam Name: | Splunk Enterprise Certified Architect Certification Exam (SPLK-2002) |
| Exam Number: | SPLK-2002 |
| Exam Duration: | 120 (typical; subject to proctoring rules) |
| Certificate Validity Period: | 3 years (typical Splunk certification validity) |
| Related Certifications: | Splunk Core Certified User Splunk Enterprise Certified Admin |
| Exam Format: | Multiple response, Multiple choice, Proctored exam (online or test center) |
| Real Exam Qty: | 50–60 (varies by exam version) |
| Available Languages: | English |
| Recommended Training: | Splunk Enterprise System Administration Course Splunk Architect Certification Preparation |
| Exam Registration: | Splunk Certification Portal Splunk Training & Exams |
| Sample Questions: | Splunk SPLK-2002 Sample Questions |
| Exam Way: | Proctored exam delivered online or at authorized test centers (Pearson VUE) |
| Pre Condition: | Recommended: Splunk Enterprise Certified Admin certification or equivalent hands-on experience with Splunk distributed environments |
| Official Syllabus URL: | https://www.splunk.com/en_us/training/certification.html |
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The Splunk SPLK-2002 exam is intended for Splunk professionals who have a minimum of three years of experience working with Splunk Enterprise. Candidates who pass the exam are recognized as Splunk Enterprise Certified Architects and are equipped to lead the design and implementation of Splunk environments in complex and large-scale organizations. Splunk Enterprise Certified Architect certification is valid for three years and requires recertification after the expiration of the certification.
The SPLK-2002 Certification Exam covers a range of topics, including data input and parsing, advanced searching and reporting, data visualization and dashboard creation, and Splunk Enterprise deployment architecture. SPLK-2002 exam is designed to test the candidate's ability to design, implement, and manage complex Splunk Enterprise environments. Successful candidates are expected to have a deep understanding of Splunk's features and be able to apply them to real-world scenarios.
NEW QUESTION # 81
To expand the search head cluster by adding a new member, node2, what first step is required?
Answer: D
Explanation:
To expand the search head cluster by adding a new member, node2, the first step is to initialize the cluster configuration on node2 using the splunk init shcluster-config command. This command sets the required parameters for the cluster member, such as the management URI, the replication port, and the shared secret key. The management URI must be unique for each cluster member and must match the URI that the deployer uses to communicate with the member. The replication port must be the same for all cluster members and must be different from the management port. The secret key must be the same for all cluster members and must be encrypted using the splunk _encrypt command. The master_uri parameter is optional and specifies the URI of the cluster captain. If not specified, the cluster member will use the captain election process to determine the captain. Option C shows the correct syntax and parameters for the splunk init shcluster- config command. Option A is incorrect because the splunk bootstrap shcluster-config command is used to bring up the first cluster member as the initial captain, not to add a new member. Option B is incorrect because the master_uri parameter is not required and the mgmt_uri parameter is missing. Option D is incorrect because the splunk add shcluster-member command is used to add an existing search head to the cluster, not to initialize a new member12
1: https://docs.splunk.com/Documentation/Splunk/9.1.2/DistSearch
/SHCdeploymentoverview#Initialize_cluster_members 2: https://docs.splunk.com/Documentation/Splunk/9.
1.2/DistSearch/SHCconfigurationdetails#Configure_the_cluster_members
NEW QUESTION # 82
Which of the following tasks should the architect perform when building a deployment plan? (Select all that apply.)
Answer: A,B,D
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 # 83
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: D
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 # 84
Which Splunk server role regulates the functioning of indexer cluster?
Answer: A
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 # 85
In which phase of the Splunk Enterprise data pipeline are indexed extraction configurations processed?
Answer: D
Explanation:
Indexed extraction configurations are processed in the indexing phase of the Splunk Enterprise data pipeline.
The data pipeline is the process that Splunk uses to ingest, parse, index, and search data. Indexed extraction configurations are settings that determine how Splunk extracts fields from data at index time, rather than at search time. Indexed extraction can improve search performance, but it also increases the size of the index.
Indexed extraction configurations are applied in the indexing phase, which is the phase where Splunk writes the data and the .tsidx files to the index. The input phase is the phase where Splunk receives data from various sources and formats. The parsing phase is the phase where Splunk breaks the data into events, timestamps, and hosts. The search phase is the phase where Splunk executes search commands and returns results.
NEW QUESTION # 86
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