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New SPLK-2002 Exam Format | Valid SPLK-2002 Exam Experience

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Splunk Enterprise Certified Architect Sample Questions (Q166-Q171):NEW QUESTION # 166
When adding or decommissioning a member from a Search Head Cluster (SHC), what is the proper order of operations?
  • A. 1. Install and initialize the instance.
    2. Delete Splunk Enterprise, if it exists.
    3. Join the SHC.
  • B. 1. Trigger replication.
    2. Remove master node from cluster.
    3. Initialize cluster rebalance operation.
  • C. 1. Delete Splunk Enterprise, if it exists.
    2. Install and initialize the instance.
    3. Join the SHC.
  • D. 1. Initialize cluster rebalance operation.
    2. Remove master node from cluster.
    3. Trigger replication.
Answer: A
Explanation:
Explanation

NEW QUESTION # 167
Determining data capacity for an index is a non-trivial exercise. Which of the following are possible considerations that would affect daily indexing volume? (select all that apply)
  • A. Number of data sources.
  • B. Number of concurrent searches on data.
  • C. Peak data rates.
  • D. Average size of event data.
Answer: A,C,D
Explanation:
According to the Splunk documentation1, determining data capacity for an index is a complex task that depends on several factors, such as:
* Average size of event data. This is the average number of bytes per event that you send to Splunk. The larger the events, the more storage space they require and the more indexing time they consume.
* Number of data sources. This is the number of different types of data that you send to Splunk, such as logs, metrics, network packets, etc. The more data sources you have, the more diverse and complex your data is, and the more processing and parsing Splunk needs to do to index it.
* Peak data rates. This is the maximum amount of data that you send to Splunk per second, minute, hour, or day. The higher the peak data rates, the more load and pressure Splunk faces to index the data in a timely manner.
The other option is false because:
* Number of concurrent searches on data. This is not a factor that affects daily indexing volume, as it is related to the search performance and the search scheduler, not the indexing process. However, it can affect the overall resource utilization and the responsiveness of Splunk2.

NEW QUESTION # 168
A Splunk instance has crashed, but no crash log was generated. There is an attempt to determine what user activity caused the crash by running the following search:

What does searching for closed_txn=0 do in this search?
  • A. Filters results to situations where Splunk was started and stopped multiple times.
  • B. Filters results to situations where Splunk was stopped and then immediately restarted.
  • C. Filters results to situations where Splunk was started, but not stopped.
  • D. Filters results to situations where Splunk was started and stopped once.
Answer: C
Explanation:
Searching for closed_txn=0 in this search filters results to situations where Splunk was started, but not stopped. This means that the transaction was not completed, and Splunk crashed before it could finish the pipelines. The closed_txn field is added by the transaction command, and it indicates whether the transaction was closed by an event that matches the endswith condition1. A value of 0 means that the transaction was not closed, and a value of 1 means that the transaction was closed1. Therefore, option D is the correct answer, and options A, B, and C are incorrect.
1: transaction command overview

NEW QUESTION # 169
When should a Universal Forwarder be used instead of a Heavy Forwarder?
  • A. When data comes directly from a database server.
  • B. When most of the data requires masking.
  • C. When a modular input is needed.
  • D. When there is a high-velocity data source.
Answer: D
Explanation:
According to the Splunk blog1, the Universal Forwarder is ideal for collecting data from high-velocity data sources, such as a syslog server, due to its smaller footprint and faster performance. The Universal Forwarder performs minimal processing and sends raw or unparsed data to the indexers, reducing the network traffic and the load on the forwarders. The other options are false because:
* When most of the data requires masking, a Heavy Forwarder is needed, as it can perform advanced filtering and data transformation before forwarding the data2.
* When data comes directly from a database server, a Heavy Forwarder is needed, as it can run modular inputs such as DB Connect to collect data from various databases2.
* When a modular input is needed, a Heavy Forwarder is needed, as the Universal Forwarder does not include a bundled version of Python, which is required for most modular inputs2.

NEW QUESTION # 170
Which of the following is an indexer clustering requirement?
  • A. Must reside on a dedicated rack.
  • B. Must share the same license pool.
  • C. Must use shared storage.
  • D. Must have at least three members.
Answer: B
Explanation:
Explanation
An indexer clustering requirement is that the cluster members must share the same license pool and license master. A license pool is a group of licenses that are assigned to a set of Splunk instances. A license master is a Splunk instance that manages the distribution and enforcement of licenses in a pool. In an indexer cluster, all cluster members must belong to the same license pool and report to the same license master, to ensure that the cluster does not exceed the license limit and that the license violations are handled consistently. An indexer cluster does not require shared storage, because each cluster member has its own local storage for the index data. An indexer cluster does not have to reside on a dedicated rack, because the cluster members can be located on different physical or virtual machines, as long as they can communicate with each other. An indexer cluster does not have to have at least three members, because a cluster can have as few as two members, although this is not recommended for high availability

NEW QUESTION # 171
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