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Splunk SPLK-2002 (Splunk Enterprise Certified Architect) Certification Exam is designed for IT professionals who are seeking to validate their expertise in managing and designing complex Splunk Enterprise environments. Splunk Enterprise Certified Architect certification exam is targeted towards individuals who have extensive experience in Splunk deployments and have a comprehensive understanding of the Splunk Enterprise system.
The SPLK-2002 Exam consists of 100 multiple-choice questions and is timed for two hours. SPLK-2002 exam covers a wide range of topics, including Splunk Enterprise architecture, deployment planning, search and reporting, data management, and advanced configurations. SPLK-2002 exam also includes questions on Splunk Enterprise security, user management, and integration with other systems.
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To be eligible for the Splunk SPLK-2002 Exam, candidates must have at least two years of experience in designing and deploying Splunk solutions. They must also have completed the Splunk Enterprise Certified Architect certification path, which includes the completion of Splunk Fundamentals I & II, Splunk for Enterprise Security, and Splunk App Development courses. Passing the SPLK-2002 Exam demonstrates a candidate's competency in architecting and deploying complex Splunk solutions in large-scale environments. Moreover, it validates the candidate's ability to effectively manage data and ensure the security of Splunk deployments.
NEW QUESTION # 143
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: D
Explanation:
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 # 144
(Which of the following is a benefit of using SmartStore?)
Answer: B
Explanation:
According to the Splunk SmartStore Architecture Guide, the primary benefit of SmartStore is the separation of storage from compute resources within an indexer cluster. SmartStore enables Splunk to decouple indexer storage (data at rest) from the compute layer (indexers that perform searches and indexing).
With SmartStore, active (hot/warm) data remains on local disk for fast access, while older, less frequently searched (remote) data is stored in an external object storage system such as Amazon S3, Google Cloud Storage, or on-premises S3-compatible storage. This separation reduces the storage footprint on indexers, allowing organizations to scale compute and storage independently.
This architecture improves cost efficiency and scalability by:
* Lowering on-premises storage costs using object storage for retention.
* Enabling dynamic scaling of indexers without impacting total data availability.
* Reducing replication overhead since SmartStore manages data objects efficiently.
SmartStore does not affect replication or search factors (Option A), does not handle Knowledge Object replication (Option C), and the Cluster Manager is still required (Option D) to coordinate cluster activities.
References (Splunk Enterprise Documentation):
* SmartStore Overview and Architecture Guide
* SmartStore Deployment and Configuration Manual
* Managing Storage and Compute Independence in Indexer Clusters
* Splunk Enterprise Capacity Planning - SmartStore Sizing Guidelines
NEW QUESTION # 145
Which of the following server. conf stanzas indicates the Indexer Discovery feature has not been fully configured (restart pending) on the Master Node?
Answer: C
Explanation:
The Indexer Discovery feature enables forwarders to dynamically connect to the available peer nodes in an indexer cluster. To use this feature, the manager node must be configured with the [indexer_discovery] stanza and a pass4SymmKey value. The forwarders must also be configured with the same pass4SymmKey value and the master_uri of the manager node. The pass4SymmKey value must be encrypted using the splunk
_encrypt command. Therefore, option A indicates that the Indexer Discovery feature has not been fully configured on the manager node, because the pass4SymmKey value is not encrypted. The other options are not related to the Indexer Discovery feature. Option B shows the configuration of a forwarder that is part of an indexer cluster. Option C shows the configuration of a manager node that is part of an indexer cluster. Option D shows an invalid configuration of the [indexer_discovery] stanza, because the pass4SymmKey value is not encrypted and does not match the forwarders' pass4SymmKey value12
1: https://docs.splunk.com/Documentation/Splunk/9.1.2/Indexer/indexerdiscovery 2: https://docs.splunk.com
/Documentation/Splunk/9.1.2/Security
/Secureyourconfigurationfiles#Encrypt_the_pass4SymmKey_setting_in_server.conf
NEW QUESTION # 146
Of the following types of files within an index bucket, which file type may consume the most disk?
Answer: B
Explanation:
Of the following types of files within an index bucket, the rawdata file type may consume the most disk. The rawdata file type contains the compressed and encrypted raw data that Splunk has ingested. The rawdata file type is usually the largest file type in a bucket, because it stores the original data without any filtering or extraction. The bloom filter file type contains a probabilistic data structure that is used to determine if a bucket contains events that match a given search. The bloom filter file type is usually very small, because it only stores a bit array of hashes. The metadata (.data) file type contains information about the bucket properties, such as the earliest and latest event timestamps, the number of events, and the size of the bucket. The metadata file type is also usually very small, because it only stores a few lines of text. The inverted index (.tsidx) file type contains the time-series index that maps the timestamps and event IDs of the raw data. The inverted index file type can vary in size depending on the number and frequency of events, but it is usually smaller than the rawdata file type
NEW QUESTION # 147
Which Splunk server role regulates the functioning of indexer cluster?
Answer: C
Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.1/Deploy/Indexercluster
NEW QUESTION # 148
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