Quiz Accurate Splunk - SPLK-2003 - Splunk Phantom Certified Admin New Dumps Free
Quiz Accurate Splunk - SPLK-2003 - Splunk Phantom Certified Admin New Dumps Free
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You can customize SPLK-2003 exam questions complexity levels and test duration during any attempt. Real Splunk SPLK-2003 practice test questions like scenarios that the online test creates will enable you to control anxiety. Self-evaluation reports of the SPLK-2003 web-based practice test will inform you where you exactly stand before the final Splunk SPLK-2003 test. SPLK-2003 Exam Questions in this Splunk SPLK-2003 practice test are similar to the real test.
Splunk Phantom Certified Admin Sample Questions (Q114-Q119):
NEW QUESTION # 114
How is a Django filter query performed?
- A. Browse to the Django Filter Query Editor in the Administration panel.
- B. By adding parameters to the URL similar to the following: phantom/rest/container?
_filter_tags_contains="sumo". - C. phantom/rest/search/app/contains/"sumo"
- D. Install the SOAR Django App first, then configure the search query in the App editor.
Answer: B
Explanation:
Django filter queries in Splunk SOAR are performed by appending filter parameters directly to the REST API URL. This allows users to refine their search and retrieve specific data. For example, to filter containers by tags containing the word "sumo", the following URL structure would be used: https://<PHANTOM_URL>
/rest/container?_filter_tags_contains="sumo". This format enables users to construct dynamic queries that can filter results based on specified criteria within the Django framework used by Splunk SOAR.
The correct way to perform a Django filter query in Splunk SOAR is to add parameters to the URL similar to the following: phantom/rest/container?_filter_tags_contains="sumo". This will return a list of containers that have the tag "sumo" in them. You can use various operators and fields to filter the results according to your needs. For more details, see Query for Data and Use filters in your Splunk SOAR (Cloud) playbook to specify a subset of artifacts before further processing. The other options are either incorrect or irrelevant for this question. For example:
*phantom/rest/search/app/contains/"sumo" is not a valid URL for a Django filter query. It will return an error message saying "Invalid endpoint".
*There is no Django Filter Query Editor in the Administration panel of Splunk SOAR. You can use the REST API Tester to test your queries, but not to edit them.
*There is no SOAR Django App that needs to be installed or configured for performing Django filter queries.
Splunk SOAR uses the Django framework internally, but you do not need to install or use any additional apps for this purpose.
NEW QUESTION # 115
What are the differences between cases and events?
- A. Cases: incidents with a known violation and a plan for correction.
Events: occurrences in the system that may require a response. - B. Case: potential threats.
Events: identified as a specific kind of problem and need a structured approach. - C. Cases: contain a collection of containers.
Events: contain potential threats. - D. Cases: only include high-level incident artifacts.
Events: only include low-level incident artifacts.
Answer: A
Explanation:
Explanation
Cases and events are two types of containers in Phantom. Cases are incidents with a known violation and a plan for correction, such as a malware infection, a phishing attack, or a data breach. Events are occurrences in the system that may require a response, such as an alert, a log entry, or an email. Cases and events can contain both high-level and low-level incident artifacts, such as IP addresses, URLs, files, or users. Cases do not contain a collection of containers, but rather a collection of artifacts, tasks, notes, and comments. Events are not necessarily potential threats, but rather indicators of potential threats. Reference, page 9.
NEW QUESTION # 116
Which of the following is an asset ingestion setting in SOAR?
- A. Polling Interval
- B. Operating system
- C. Tag
- D. File format
Answer: A
Explanation:
The asset ingestion setting 'Polling Interval' within Splunk SOAR determines how frequently the SOAR platform will poll an asset to ingest data. This setting is crucial for assets that are configured to pull in data from external sources at regular intervals. Adjusting the polling interval allows administrators to balance the need for timely data against network and system resource considerations.
An asset ingestion setting is a configuration option that allows you to specify how often SOAR should poll an asset for new data. Data ingestion settings are available for assets such as QRadar, Splunk, and IMAP. To configure ingestion settings for an asset, you need to navigate to the Asset Configuration page, select the Ingest Settings tab, and edit the Polling Interval field. The Polling Interval is the number of seconds between each poll request that SOAR sends to the asset. Therefore, option A is the correct answer, as it is the only option that is an asset ingestion setting in SOAR. Option B is incorrect, because Tag is not an asset ingestion setting, but a way of labeling an asset for easier identification and filtering. Option C is incorrect, because File format is not an asset ingestion setting, but a way of specifying the format of the data that is ingested from an asset. Option D is incorrect, because Operating system is not an asset ingestion setting, but a way of identifying the type of system that an asset runs on.
1: Configure ingest settings for a Splunk SOAR (On-premises) asset
NEW QUESTION # 117
A customer wants to design a modular and reusable set of playbooks that all communicate with each other. Which of the following is a best practice for data sharing across playbooks?
- A. Use the Handle method to pass data directly between playbooks.
- B. Create artifacts using one playbook and collect those artifacts in another playbook.
- C. Use the py-postgresq1 module to directly save the data in the Postgres database.
- D. Cal the child playbooks getter function.
Answer: B
Explanation:
Creating artifacts using one playbook and collecting those artifacts in another playbook is a best practice for data sharing across playbooks. Artifacts are data objects that are associated with a container and can be used to store information such as IP addresses, URLs, file hashes, etc.
Artifacts can be created using the add artifact action in any playbook block and can be collected using the get artifacts action in the filter block. Artifacts can also be used to trigger active playbooks based on their label or type.
In the context of Splunk SOAR, one of the best practices for data sharing across playbooks is to create artifacts in one playbook and use another playbook to collect and utilize those artifacts.
Artifacts in Splunk SOAR are structured data related to security incidents (containers) that playbooks can act upon. By creating artifacts in one playbook, you can effectively pass data and context to subsequent playbooks, allowing for modular, reusable, and interconnected playbook designs. This approach promotes efficiency, reduces redundancy, and enhances the playbook's ability to handle complex workflows.
NEW QUESTION # 118
What are the differences between cases and events?
- A. Case: potential threats.
Events: identified as a specific kind of problem and need a structured approach. - B. Cases: contain a collection of containers.
Events: contain potential threats. - C. Cases: only include high-level incident artifacts.
Events: only include low-level incident artifacts. - D. Cases: incidents with a known violation and a plan for correction.
Events: occurrences in the system that may require a response.
Answer: A
NEW QUESTION # 119
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