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SPLK-3003 Practice Questions

Question # 1
When adding a new search head to a search head cluster (SHC), which of the following scenarios occurs?
A. The new search head connects to the captain and replays any recent configuration changes to bring it up to date.
B. The new search head connects to the deployer and replays any recent configuration changes to bring it up to date.
C. The new search head connects to the captain and pulls the most recently deployed bundle. It then connects to the deployer and replays any recent configuration changes to bring it up to date.
D. The new search head connects to the deployer and pulls the most recently deployed bundle. It then connects to the captain and replays any recent configuration changes to bring it up to date.


D. The new search head connects to the deployer and pulls the most recently deployed bundle. It then connects to the captain and replays any recent configuration changes to bring it up to date.

Explanation: When adding a new search head to a search head cluster (SHC), the following scenario occurs:
The new search head connects to the deployer and pulls the most recently deployed bundle. The deployer is a Splunk instance that manages the app configuration bundle for the SHC. The bundle contains the app configurations and knowledge objects that are common to all the search heads in the cluster. The new search head downloads and extracts the bundle to its etc/shcluster/apps directory.
The new search head connects to the captain and replays any recent configuration changes to bring it up to date. The captain is one of the search heads in the cluster that coordinates the cluster activities and maintains the cluster state. The captain keeps track of any configuration changes that are made on any of the cluster members, such as creating or modifying dashboards, reports, alerts, or macros. The new search head requests these changes from the captain and applies them to its own configuration.
By following these steps, the new search head synchronizes its configuration with the rest of the cluster and becomes a fully functional member.

Question # 2
In a single indexer cluster, where should the Monitoring Console (MC) be installed?
A. Deployer sharing with master cluster.
B. License master that has 50 clients or more
C. Cluster master node
D. Production Search Head


C. Cluster master node

Explanation: In a single indexer cluster, the best practice is to install the Monitoring Console (MC) on the cluster master node. This is because the cluster master node has access to all the information about the cluster state, such as the bucket status, the peer status, the search head status, and the replication and search factors. The MC can use this information to monitor the health and performance of the cluster and alert on any issues or anomalies. The MC can also run distributed searches across all the peer nodes and collect metrics and logs from them.
The other options are incorrect because they are not recommended locations for installing the MC in a single indexer cluster. Option A is incorrect because the deployer should not share with the master cluster, as this can cause conflicts and errors in applying configuration bundles to the cluster. Option B is incorrect because the license master is not a good candidate for hosting the MC, as it does not have direct access to the cluster information and it might have a high load from managing license usage for many clients.
Option D is incorrect because the production search head is not a good candidate for hosting the MC, as it might have a high load from serving user searches and dashboards, and it might not be able to run distributed searches across all the peer nodes if it is not part of the cluster.

Question # 3
A customer has a number of inefficient regex replacement transforms being applied. When under heavy load the indexers are struggling to maintain the expected indexing rate. In a worst-case scenario, which queue(s) would be expected to fill up?
A. Typing, merging, parsing, input
B. Parsing
C. Typing
D. Indexing, typing, merging, parsing, input


B. Parsing

Explanation: The queue that would be expected to fill up in a worst case scenario when the indexers are struggling to maintain the expected indexing rate due to inefficient regex replacement transforms is the parsing queue. The parsing queue is the queue that holds the events that are being parsed by the indexers. Parsing is the process of extracting fields, timestamps, and other metadata from the raw data. Regex replacement transforms are part of the parsing process, and they can be very CPU-intensive if they are not optimized. Therefore, if the indexers are overloaded with inefficient regex replacement transforms, the parsing queue will fill up faster than it can be emptied, and the indexing rate will suffer. Therefore, the correct answer is B. Parsing.

Question # 4
A non-ES customer has a concern about data availability during a disaster recovery event. Which of the following Splunk Validated Architectures (SVAs) would be recommended for that use case?
A. Topology Category Code: M4
B. Topology Category Code: M14
C. Topology Category Code: C13
D. Topology Category Code: C3


B. Topology Category Code: M14

Explanation: The Topology Category Code: M14 would be recommended for a non-ES customer who has a concern about data availability during a disaster recovery event. This is because this topology provides high availability and disaster recovery for both the search head and the indexer layer, as well as load balancing and data replication. The M14 topology consists of two search head clusters, each with a minimum of three search heads, and two indexer clusters, each with a minimum of three indexers. The search head clusters are connected to their respective indexer clusters via the cluster master, and the indexer clusters are replicated across two sites using the site replication factor. This ensures that the data is available in both sites and can be searched by either search head cluster in case of a site failure.

Question # 5
Which statement is true about sub searches?
A. Sub searches are faster than other types of searches.
B. Sub searches work best for joining two large result sets.
C. Sub searches run at the same time as their outer search.
D. Sub searches work best for small result sets.


D. Sub searches work best for small result sets.

Explanation: The Splunk Validated Architectures (SVAs) are proven reference architectures for stable, efficient and repeatable Splunk deployments. They offer topology options that consider a wide array of organizational requirements, so the customer can easily understand and find a topology that is right for their needs. The SVAs also provide design principles and best practices to help the customer build an environment that is easier to maintain and troubleshoot. The SVAs are available on the Splunk website1 and can be customized using the Interactive Splunk Validated Architecture (iSVA) tool2. The other options are incorrect because they do not provide the customer with a reliable and tailored resource to help them design their new architecture. Option A is too vague and does not point the customer to a specific document or section. Option B is irrelevant and does not address the customer’s architectural needs. Option C is unreliable and does not guarantee that the customer will find a suitable solution for their requirements.

Question # 6
A customer has a multisite cluster (two sites, each site in its own data center) and users experiencing a slow response when searches are run on search heads located in either site. The Search Job Inspector shows the delay is being caused by search heads on either site waiting for results to be returned by indexers on the opposing site. The network team has confirmed that there is limited bandwidth available between the two data centers, which are in different geographic locations. Which of the following would be the least expensive and easiest way to improve search performance?
A. Configure site_search_factor to ensure a searchable copy exists in the local site for each search head.
B. Move all indexers and search heads in one of the data centers into the same site.
C. Install a network pipe with more bandwidth between the two data centers.
D. Set the site setting on each indexer in the server.conf clustering stanza to be the same for all indexers regardless of site.


A. Configure site_search_factor to ensure a searchable copy exists in the local site for each search head.

Explanation: The least expensive and easiest way to improve search performance for a multisite cluster with limited bandwidth between sites is to configure site_search_factor to ensure a searchable copy exists in the local site for each search head. This option allows the search heads to use search affinity, which means they will prefer to search the data on their local site, avoiding network traffic across sites. This option also preserves the disaster recovery benefit of multisite clustering, as each site still has a full copy of the data. Therefore, the correct answer is A, configure site_search_factor to ensure a searchable copy exists in the local site for each search head.

Question # 7
The customer wants to migrate their current Splunk Index cluster to new hardware to improve indexing and search performance. What is the correct process and procedure for this task?
A. 1. Install new indexers.
2.Configure indexers into the cluster as peers; ensure they receive the same configuration via the deployment server.
3.Decommission old peers one at a time.
4.Remove old peers from the CM’s list.
5.Update forwarders to forward to the new peers.
B. 1. Install new indexers.
2.Configure indexers into the cluster as peers; ensure they receive the cluster bundle and the same configuration as original peers.
3.Decommission old peers one at a time.
4.Remove old peers from the CM’s list.
5.Update forwarders to forward to the new peers.
C. 1. Install new indexers.
2.Configure indexers into the cluster as peers; ensure they receive the same configuration via the deployment server.
3.Update forwarders to forward to the new peers.
4.Decommission old peers on at a time.
5.Restart the cluster master (CM).
D. 1. Install new indexers.
2.Configure indexers into the cluster as peers; ensure they receive the cluster bundle and the same configuration as original peers.
3.Update forwarders to forward to the new peers.
4.Decommission old peers one at a time.
5.Remove old peers from the CM’s list.


B. 1. Install new indexers.
2.Configure indexers into the cluster as peers; ensure they receive the cluster bundle and the same configuration as original peers.
3.Decommission old peers one at a time.
4.Remove old peers from the CM’s list.
5.Update forwarders to forward to the new peers.

Explanation: The correct process and procedure for migrating a Splunk index cluster to new hardware is as follows:
Install new indexers. This step involves installing the Splunk Enterprise software on the new machines and configuring them with the same network settings, OS settings, and hardware specifications as the original indexers.
Configure indexers into the cluster as peers; ensure they receive the cluster bundle and the same configuration as original peers. This step involves joining the new indexers to the existing cluster as peer nodes, using the same cluster master and replication factor. The new indexers should also receive the same configuration files as the original peers, either by copying them manually or by using a deployment server. The cluster bundle contains the indexes.conf file and other files that define the index settings and data retention policies for the cluster.
Decommission old peers one at a time. This step involves removing the old indexers from the cluster gracefully, using the splunk offline command or the REST API endpoint /services/cluster/master/control/control/decommission. This ensures that the cluster master redistributes the primary buckets from the old peers to the new peers, and that no data is lost during the migration process.
Remove old peers from the CM’s list. This step involves deleting the old indexers from the list of peer nodes maintained by the cluster master, using the splunk remove server command or the REST API endpoint /services/cluster/master/peers. This ensures that the cluster master does not try to communicate with the old peers or assign them any search or replication tasks.
Update forwarders to forward to the new peers. This step involves updating the outputs.conf file on the forwarders that send data to the cluster, so that they point to the new indexers instead of the old ones. This ensures that the data ingestion process is not disrupted by the migration.

Question # 8
The customer has an indexer cluster supporting a wide variety of search needs, including scheduled search, data model acceleration, and summary indexing. Here is an excerpt from the cluster mater’s server.conf:

Which strategy represents the minimum and least disruptive change necessary to protect the searchability of the indexer cluster in case of indexer failure?
A. Enable maintenance mode on the CM to prevent excessive fix-up and bring the failed indexer back online.
B. Leave replication_factor=2, increase search_factor=2 and enable summary_replication.
C. Convert the cluster to multi-site and modify the server.conf to be site_replication_factor=2, site_search_factor=2.
D. Increase replication_factor=3, search_factor=2 to protect the data, and allow there to always be a searchable copy.


D. Increase replication_factor=3, search_factor=2 to protect the data, and allow there to always be a searchable copy.

Explanation: This is the minimum and least disruptive change necessary to protect the searchability of the indexer cluster in case of indexer failure, because it ensures that there are always at least two copies of each bucket in the cluster, one of which is searchable. This way, if one indexer fails, the cluster can still serve search requests from the remaining copy. Increasing the replication factor and search factor also improves the cluster’s resiliency and availability. The other options are incorrect because they either do not protect the searchability of the cluster, or they require more changes and disruptions to the cluster.

Option A is incorrect because enabling maintenance mode on the CM does not prevent excessive fix-up, but rather delays it until maintenance mode is disabled. Maintenance mode also prevents searches from running on the cluster, which defeats the purpose of protecting searchability.

Option B is incorrect because leaving replication_factor=2 means that there is only one searchable copy of each bucket in the cluster, which is not enough to protect searchability in case of indexer failure. Enabling summary_replication does not help with this issue, as it only applies to summary indexes, not all indexes.

Option C is incorrect because converting the cluster to multi-site requires a lot of changes and disruptions to the cluster, such as reassigning site attributes to all nodes, reconfiguring network settings, and rebalancing buckets across sites. It also does not guarantee that there will always be a searchable copy of each bucket in each site, unless the site replication factor and site search factor are set accordingly.

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Splunk SPLK-3003 Exam Dumps

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