Free Splunk SPLK-3003 Practice Exam with Questions & Answers | Set: 3

 The updated dashboard will not be available to the power user; they will see their modified version. This is because the Splunk App for AWS is a prebuilt app that is installed on the deployer and pushed to the search head cluster members. When a power user modifies a dashboard in the app on one of the search head cluster members, the changes are stored in the local directory of that member. When the app is upgraded to the latest version by following the instructions via the deployer, the changes in the default directory of the app are overwritten, but the changes in the local directory are preserved. Therefore, the power user will still see their modified version of the dashboard, while other users will see the updated version of the dashboard.

The other options are incorrect because they do not reflect what happens when a prebuilt app is upgraded in a search head cluster. Option A is incorrect because the updated dashboard will be deployed globally to all users, except for the power user who modified it. Option B is incorrect because applying the search head cluster bundle will not fail due to the conflict, as the local changes are not pushed back to the deployer. Option C is incorrect because the updated dashboard will not be available to the power user, as their local changes will take precedence over the default changes. References:

• Splunk Core Consultant knowledge source documents or study guide: https://www.splunk.com/en_us/resources/splunk-certification-exam-study-guide.html
• Splunk Test Blueprint Consultant: https://www.splunk.com/en_us/pdfs/training/splunk-test-blueprint-consultant.pdf
• Install a prebuilt app on a search head cluster1
• How configuration file precedence works2

The Splunk Validated Architectures (SVAs) document provides a series of approved Splunk topologies that are designed to meet different deployment needs, such as scale, resilience, performance, and cost. The document also provides guidance on how to select the best topology for a customer’s requirements, as well as design principles and best practices to ensure a successful implementation. Therefore, the best way to use the SVAs document is to identify the customer’s requirements, provisionally choose an approved design that meets them, then consider design principles and best practices to come to an informed design decision. This approach allows the customer to find a topology that is suitable for their specific use cases and environment, while also following Splunk’s recommendations and standards. References:

• https://docs.splunk.com/Documentation/SVA/current/Architectures/Introduction4
• https://docs.splunk.com/Documentation/SVA/current/Architectures/Selectingatopology5
• https://docs.splunk.com/Documentation/SVA/current/Architectures/Designprinciplesandbestpractices

 Splunk Data Model Acceleration (DMA) summaries are stored in summaryHomePath, which is an attribute in the indexes.conf file that specifies the location of the summary files for data model acceleration. By default, the summaryHomePath is set to $SPLUNK_DB//summary, where $SPLUNK_DB is the root directory for all index data. The summary files are CSV files that contain precomputed summary data relevant to the data model. Therefore, the correct answer is C, in summaryHomePath. References :=

• Accelerate data models
• Indexes.conf.spec

 The Monitoring Console (MC) uses a REST endpoint to query the server and determine its role(s) based on the configuration files and processes running on the server. The MC does not rely on manual assignment, distsearch.conf, or default roles to identify the server role(s). References:

• : Splunk Documentation: Monitoring Console: Identify roles of Splunk Enterprise instances
• : Splunk Documentation: Monitoring Console: How the Monitoring Console identifies instance roles

The recommended solution to reduce the number of connection failures to the deployment server (DS) is to create a tiered deployment server topology. A tiered deployment server topology is a way of organizing the deployment server and its clients into multiple levels or tiers, where each tier has a different phone home interval and a different set of apps to deploy. This way, the deployment server can handle more clients without being overwhelmed by frequent connections and large app deployments. A tiered deployment server topology can also improve the performance and scalability of the deployment server, as well as reduce the network bandwidth consumption and latency.

The other options are incorrect because they either do not solve the problem or they make it worse. Option B is incorrect because reducing the phone home interval to 6 seconds will increase the number of connection failures to the DS, as it will make the clients connect more often and put more load on the DS. Option C is incorrect because leaving the phone home interval at 60 seconds will not reduce the number of connection failures to the DS, as it will not change the current situation. Option D is incorrect because increasing the phone home interval to 600 seconds will reduce the number of connection failures to the DS, but it will also reduce the responsiveness and reliability of the deployment server, as it will make the clients connect less often and delay the app deployments. References:

• Splunk Core Consultant knowledge source documents or study guide: https://www.splunk.com/en_us/resources/splunk-certification-exam-study-guide.html
• Splunk Test Blueprint Consultant: https://www.splunk.com/en_us/pdfs/training/splunk-test-blueprint-consultant.pdf
• Plan a tiered deployment server topology1