Splunk SPLK-2002 Practice Test - Questions Answers, Page 16

The Splunk server name of the member can typically be determined by the serverName attribute in the server.conf file, which is not explicitly shown in the provided snippet. However, based on the provided configuration snippet, we can infer that this search head cluster member is configured to communicate with a cluster master (master_uri) located at node1 and a management node (mgmt_uri) located at node3. The serverName is not the same as the master_uri or mgmt_uri; these URIs indicate the location of the master and management nodes that this member interacts with.

Since the serverName is not provided in the snippet, one would typically look for a setting under the [general] stanza in server.conf. However, given the options and the common naming conventions in a Splunk environment, node3 would be a reasonable guess for the server name of this member, since it is indicated as the management URI within the [shclustering] stanza, which suggests it might be the name or address of the server in question.

For accurate identification, you would need to access the full server.conf file or the Splunk Web on the search head cluster member and look under Settings > Server settings > General settings to find the actual serverName. Reference for these details would be found in the Splunk documentation regarding the configuration files, particularly server.conf.

This is the index that records changes to .conf files as of Splunk 9.0.According to the Splunk documentation1, the _configtracker index tracks the changes made to the configuration files on the Splunk platform, such as the files in the etc directory.The _configtracker index can help monitor and troubleshoot the configuration changes, and identify the source and time of the changes1. The other options are not indexes that record changes to .conf files.Option B, _introspection, is an index that records the performance metrics of the Splunk platform, such as CPU, memory, disk, and network usage2.Option C, _internal, is an index that records the internal logs and events of the Splunk platform, such as splunkd, metrics, and audit logs3.Option D, _audit, is an index that records the audit events of the Splunk platform, such as user authentication, authorization, and activity4. Therefore, option A is the correct answer, and options B, C, and D are incorrect.

1: About the _configtracker index2: About the _introspection index3: About the _internal index4: About the _audit index

Thedeployeris a Splunk Enterprise instance that distributes apps and other configurations to the members of asearch head cluster1.

The deployercannotshare functionality with any other Splunk Enterprise instance, including thelicense master, themaster node, or themonitoring console2.

However, thesearch head cluster memberscan share functionality with themaster nodeand themonitoring console, as long as they are not designated as thecaptainof the cluster3.

Therefore, the correct answer is B. License master, as it is the only instance that cannot share functionality with the deployer under any circumstances.

Index files (. tsidx files) are the main components of an index that store the raw data and the inverted index of terms. They take the most space in an index, especially if the raw data has many unique terms that increase the size of the inverted index. Bloom filters, source metadata, and sourcetype metadata are much smaller in comparison and do not depend on the number of unique terms in the raw data.

How the indexer stores indexes

Splunk Enterprise Certified Architect Study Guide, page 17

According to the Splunk documentation1, any search head in the cluster can update the KV store collection. The KV store collection is replicated across all the cluster members, and any write operation is delegated to the KV store captain, who then synchronizes the changes with the other members. The KV store primary search head is not a valid term, as there is no such role in a search head cluster. The other options are false because:

The search head cluster captain is not the only node that can update the KV store collection, as any member can initiate a write operation1.

Any search head except the captain can also update the KV store collection, as the write operation will be delegated to the captain1.

Number of concurrent users: This is an important factor because it affects the search performance and resource utilization of the Splunk environment. More users mean more concurrent searches, which require more CPU, memory, and disk I/O.The number of concurrent users also determines the search head capacity and the search head clustering configuration12

Volume of incoming data: This is another crucial factor because it affects the indexing performance and storage requirements of the Splunk environment. More data means more indexing throughput, which requires more CPU, memory, and disk I/O.The volume of incoming data also determines the indexer capacity and the indexer clustering configuration13

Existence of premium apps: This is a relevant factor because some premium apps, such as Splunk Enterprise Security and Splunk IT Service Intelligence, have additional requirements and recommendations for the Splunk environment. For example, Splunk Enterprise Security requires a dedicated search head cluster and a minimum of 12 CPU cores per search head.Splunk IT Service Intelligence requires a minimum of 16 CPU cores and 64 GB of RAM per search head45

1:Splunk Validated Architectures2:Search head capacity planning3:Indexer capacity planning4:Splunk Enterprise Security Hardware and Software Requirements5: [Splunk IT Service Intelligence Hardware and Software Requirements]

The correct action to take first if a deployment client is not updating apps is tochoose a corrective action based on the splunkd.log of the deployment client.This log file contains information about the communication between the deployment server and the deployment client, and it can help identify the root cause of the problem1. The other actions may or may not help, depending on the situation, but they are not the first steps to take.Choosing a longer phone home interval may reduce the load on the deployment server, but it will also delay the updates for the deployment clients2.Increasing the number of CPU cores or the amount of memory for the deployment server may improve its performance, but it will not fix the issue if the problem is on the deployment client side3. Therefore, option C is the correct answer, and options A, B, and D are incorrect.

1: Troubleshoot deployment server issues2: Configure deployment clients3: Hardware and software requirements for the deployment server

To expand the search head cluster by adding a new member, node2, the first step is to initialize the cluster configuration on node2 using thesplunk init shcluster-configcommand. 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 thesplunk _encryptcommand. Themaster_uriparameter 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 thesplunk init shcluster-configcommand. Option A is incorrect because thesplunk bootstrap shcluster-configcommand is used to bring up the first cluster member as the initial captain, not to add a new member. Option B is incorrect because themaster_uriparameter is not required and themgmt_uriparameter is missing. Option D is incorrect because thesplunk add shcluster-membercommand 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_members2: https://docs.splunk.com/Documentation/Splunk/9.1.2/DistSearch/SHCconfigurationdetails#Configure_the_cluster_members

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.