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| Certification Vendor: | Splunk |
|---|---|
| Exam Name: | Splunk Enterprise Certified Architect Exam |
| Exam Number: | SPLK-2002 |
| Certificate Validity Period: | 2 years |
| Exam Duration: | 90 minutes |
| Real Exam Qty: | 85 |
| Exam Format: | Scenario-based questions, Multiple response, Multiple choice |
| Related Certifications: | Splunk Enterprise Certified Engineer Splunk Enterprise Certified Admin |
| Passing Score: | 700 / 1000 |
| Available Languages: | English |
| Exam Price: | $150 USD |
| Recommended Training: | Advanced Deployment & Configuration Splunk Enterprise System Administration |
| Exam Registration: | Pearson VUE Registration Splunk Certification Portal |
| Sample Questions: | Splunk SPLK-2002 Sample Questions |
| Exam Way: | Online proctored or onsite testing center |
| Pre Condition: | Must hold Splunk Enterprise Certified Admin certification; recommended: experience with large-scale deployments, clustering, and administration |
| Official Syllabus URL: | https://www.splunk.com/en_us/training/certification-track/splunk-enterprise-certified-architect.html |
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The Splunk Core Certified architect splk-2002 exam test is an internationally-recognized validation that identifies persons who earn it as possessing skilled as Splunk Core Certified architects.
NEW QUESTION # 59
When Splunk indexes data in a non-clustered environment, what kind of files does it create by default?
Answer: B
Explanation:
Explanation
When Splunk indexes data in a non-clustered environment, it creates index and .tsidx files by default. The index files contain the raw data that Splunk has ingested, compressed and encrypted. The .tsidx files contain the time-series index that maps the timestamps and event IDs of the raw data. The rawdata and index files are not the correct terms for the files that Splunk creates. The compressed and .tsidx files are partially correct, but compressed is not the proper name for the index files. The compressed and meta data files are also partially correct, but meta data is not the proper name for the .tsidx files.
NEW QUESTION # 60
Splunk configuration parameter settings can differ between multiple .conf files of the same name contained within different apps. Which of the following directories has the highest precedence?
Answer: B
NEW QUESTION # 61
Which of the following statements about integrating with third-party systems is true? (Select all that apply.)
Answer: A,B
Explanation:
The following statements about integrating with third-party systems are true: You can use Splunk alerts to provision actions on a third-party system, and you can forward data from Splunk forwarder to a third-party system without indexing it first. Splunk alerts are triggered events that can execute custom actions, such as sending an email, running a script, or calling a webhook. Splunk alerts can be used to integrate with third-party systems, such as ticketing systems, notification services, or automation platforms. For example, you can use Splunk alerts to create a ticket in ServiceNow, send a message to Slack, or trigger a workflow in Ansible. Splunk forwarders are Splunk instances that collect and forward data to other Splunk instances, such as indexers or heavy forwarders. Splunk forwarders can also forward data to third-party systems, such as Hadoop, Kafka, or AWS Kinesis, without indexing it first. This can be useful for sending data to other data processing or storage systems, or for integrating with other analytics or monitoring tools. A Hadoop application cannot search data in Splunk, because Splunk does not provide a native interface for Hadoop applications to access Splunk data. Splunk can search data in the Hadoop File System (HDFS), but only by using the Hadoop Connect app, which is a Splunk app that enables Splunk to index and search data stored in HDFS
NEW QUESTION # 62
An index has large text log entries with many unique terms in the raw data. Other than the raw data, which index components will take the most space?
Answer: A
Explanation:
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.
References:
* How the indexer stores indexes
* Splunk Enterprise Certified Architect Study Guide, page 17
NEW QUESTION # 63
A Splunk deployment is being architected and the customer will be using Splunk Enterprise Security (ES) and Splunk IT Service Intelligence (ITSI). Through data onboarding and sizing, it is determined that over 200 discrete KPIs will be tracked by ITSI and 1TB of data per day by ES. What topology ensures a scalable and performant deployment?
Answer: B
Explanation:
The correct topology to ensure a scalable and performant deployment for the customer's use case is two search head clusters, one for ITSI and one for ES. This configuration provides high availability, load balancing, and isolation for each Splunk app. According to the Splunk documentation1, ITSI and ES should not be installed on the same search head or search head cluster, as they have different requirements and may interfere with each other. Having two separate search head clusters allows each app to have its own dedicated resources and configuration, and avoids potential conflicts and performance issues1. The other options are not recommended, as they either have only one search head or search head cluster, which reduces the availability and scalability of the deployment, or they have both ITSI and ES installed on the same search head or search head cluster, which violates the best practices and may cause problems. Therefore, option B is the correct answer, and options A, C, and D are incorrect.
1: Splunk IT Service Intelligence and Splunk Enterprise Security compatibility
NEW QUESTION # 64
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