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| Certification Vendor: | Splunk |
|---|---|
| Exam Name: | Splunk Enterprise Certified Architect Exam |
| Exam Number: | SPLK-2002 |
| Related Certifications: | Splunk Enterprise Certified Admin Splunk Enterprise Certified Engineer |
| Real Exam Qty: | 85 |
| Exam Price: | $150 USD |
| Certificate Validity Period: | 2 years |
| Passing Score: | 700 / 1000 |
| Exam Duration: | 90 minutes |
| Exam Format: | Scenario-based questions, Multiple response, Multiple choice |
| Available Languages: | English |
| Recommended Training: | Advanced Deployment & Configuration Splunk Enterprise System Administration |
| Exam Registration: | Splunk Certification Portal Pearson VUE Registration |
| Sample Questions: | Splunk SPLK-2002 Sample Questions |
| Exam Way: | Online proctored or onsite testing center |
| Pre Condition: | Must hold Splunk Enterprise Certified Admin certification; recommended: experience with large-scale deployments, clustering, and administration |
| Official Syllabus URL: | https://www.splunk.com/en_us/training/certification-track/splunk-enterprise-certified-architect.html |
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Preparation Guide for Splunk SPLK-2002: Splunk Enterprise Certified Architect Exam
Introduction
Splunk has created a track for IT professionals to certify as a Certified architect on the Splunk platform. This certification program provides Splunk professionals with a way to demonstrate their skills. The assessment is based on a rigorous exam using the industry-standard methodology to determine whether a candidate meets Splunk's proficiency standards.
According to Splunk, a Splunk SPLK-2002: Splunk Enterprise Certified Architect Exam enables organizations to leverage SPL searching and reporting commands and can create knowledge objects. With a thorough understanding of Splunk core Power user, an individual can explain the SplunkSPL searching and reporting commands and can create knowledge objects Processes, and standards to drive business objectives.
Certification is evidence of your skills, expertise in those areas in which you like to work. If the candidate wants to work on Splunk Core Certified architect SPLK-2002 and prove his knowledge, Certification is offered by Splunk. This Splunk Core Certified architect SPLK-2002 Certification helps a candidate to validates his skills in Splunk Core Certified architect SPLK-2002 Technology
In this guide, we will cover the Splunk Core Certified architect SPLK-2002 Certification exam, Splunk Core Certified architect splk-2002 exam dumps, Certified professional salary, and all aspects splk-2002 practice exams.
NEW QUESTION # 121
Which two sections can be expanded using the Search Job Inspector?
Answer: A,D
NEW QUESTION # 122
Because Splunk indexing is read/write intensive, it is important to select the appropriate disk storage solution for each deployment. Which of the following statements is accurate about disk storage?
Answer: B
Explanation:
Explanation
Splunk indexing is read/write intensive, as it involves reading data from various sources, writing data to disk, and reading data from disk for searching and reporting. Therefore, it is important to select the appropriate disk storage solution for each deployment, based on the performance, reliability, and cost requirements. The recommended RAID setup for Splunk indexers is RAID 10 (1 + 0), as it provides the best balance of performance and reliability. RAID 10 combines the advantages of RAID 1 (mirroring) and RAID 0 (striping), which means that it offers both data redundancy and data distribution. RAID 10 can tolerate multiple disk failures, as long as they are not in the same mirrored pair, and it can improve the read and write speed, as it can access multiple disks in parallel2 High performance SAN (Storage Area Network) can be used for Splunk indexers, but it is not recommended, as it is more expensive and complex than local disks. SAN also introduces additional network latency and dependency, which can affect the performance and availability of Splunk indexers. SAN is more suitable for Splunk search heads, as they are less read/write intensive and more CPU intensive2 NFS (Network File System) should not be used for storing hot and warm buckets, as it can cause data corruption, data loss, and performance degradation. NFS is a network-based file system that allows multiple clients to access the same files on a remote server. NFS is not compatible with Splunk index replication and search head clustering, as it can cause conflicts and inconsistencies among the Splunk instances. NFS is also slower and less reliable than local disks, as it depends on the network bandwidth and availability. NFS can be used for storing cold and frozen buckets, as they are less frequently accessed and less critical for Splunk operations2 Virtualized environments are not usually preferred over bare metal for Splunk indexers, as they can introduce additional overhead and complexity. Virtualized environments can affect the performance and reliability of Splunk indexers, as they share the physical resources and the network with other virtual machines. Virtualized environments can also complicate the monitoring and troubleshooting of Splunk indexers, as they add another layer of abstraction and configuration. Virtualized environments can be used for Splunk indexers, but they require careful planning and tuning to ensure optimal performance and availability2
NEW QUESTION # 123
(A high-volume source and a low-volume source feed into the same index. Which of the following items best describe the impact of this design choice?)
Answer: B,D
Explanation:
The Splunk Managing Indexes and Storage Documentation explains that when multiple data sources with significantly different ingestion rates share a single index, index bucket management is governed by volume- based rotation, not by source or time. This means that high-volume data causes buckets to fill and roll more quickly, which in turn causes low-volume data to age out prematurely, even if it is relatively recent - hence Option C is correct.
Additionally, because Splunk organizes data within index buckets based on event time and storage characteristics, low-volume data mixed with high-volume data results in inefficient searches for smaller datasets. Queries that target the low-volume source will have to scan through the same large number of buckets containing the high-volume data, leading to slower-than-necessary search performance - Option B.
Compression efficiency (Option A) and performance optimization through data mixing (Option D) are not influenced by mixing volume patterns; these are determined by the event structure and compression algorithm, not source diversity. Splunk best practices recommend separating data sources into different indexes based on usage, volume, and retention requirements to optimize both performance and lifecycle management.
References (Splunk Enterprise Documentation):
* Managing Indexes and Storage - How Splunk Manages Buckets and Data Aging
* Splunk Indexing Performance and Data Organization Best Practices
* Splunk Enterprise Architecture and Data Lifecycle Management
* Best Practices for Data Volume Segregation and Retention Policies
NEW QUESTION # 124
Other than high availability, which of the following is a benefit of search head clustering?
Answer: D
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 # 125
To optimize the distribution of primary buckets; when does primary rebalancing automatically occur? (Select all
that apply.)
Answer: A,B,C
Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.2/Indexer/Rebalancethecluster
NEW QUESTION # 126
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