Splunk Cloud Certified Admin
Manage and configure data inputs and management, forwarder configuration, user accounts, basic monitoring and problem isolation for Splunk Cloud.
Manage Splunk Cloud with confidence
Whether you’re a net-new Splunk administrator or are migrating to Splunk Cloud, strengthen your management and configuration abilities. From inputs and forwarder configuration to monitoring and problem isolation, you’ll have a solid foundation.
Who should take this exam?
Whether your organization is new to Splunk Cloud or an experienced on-prem customer migrating to the Cloud platform, this is the certification to assert your expertise as a Splunk Cloud administrator.
Career builders
Take your career to the next level by earning a certification that will help you climb the ranks as a Splunk certified professional.
Platform administrators
Enhance your platform administrator resume and demonstrate your competence on the Splunk Cloud platform.
Cloud migrators
Migrate to Splunk Cloud platform with confidence and keep your standing as an essential team member to your organization.
Examkingdom Splunk SPLK-1005 Exam pdf
Best Splunk SPLK-1005 Downloads, Splunk SPLK-1005 Dumps at Certkingdom.com
Exam Details:
Level: Professional
Prerequisite:
Splunk Core Certified Power User
Length: 75 minutes
Format: 60 multiple choice questions
Delivery: Exam is given by our testing partner
Preparation:
Review exam requirements and recommendations on the Splunk Cloud Certified Admin track flowchart.
Test your knowledge with sample questions in the Splunk Certification Exams Study Guide.
Discover what to expect on the exam via the test blueprint.
Get step-by-step registration assistance with the Exam Registration Tutorial.
The SPLK-1005 exam, also known as Splunk Cloud Certified Admin, tests your knowledge and skills for administering Splunk Cloud environments. While the exact topics may vary slightly, the core areas typically covered in the SPLK-1005 exam include:
1. Splunk Cloud Platform Overview
Understanding the architecture of Splunk Cloud.
Splunk Cloud services and plans.
Differences between Splunk Enterprise and Splunk Cloud.
2. User Management
Managing users, roles, and authentication.
Assigning roles and permissions.
Configuring Single Sign-On (SSO) and LDAP.
3. Data Ingestion
Adding data from different sources.
Forwarders and data routing in the cloud.
Managing inputs and indexing data in Splunk Cloud.
4. Managing Knowledge Objects
Managing reports, dashboards, and alerts.
Overview of knowledge objects like event types, tags, and lookups.
Managing and maintaining search head clustering (for Splunk Cloud).
5. Monitoring Splunk Cloud Environment
Monitoring the health of the environment (e.g., monitoring consoles).
Managing indexers and search heads in a cloud environment.
Best practices for managing and troubleshooting performance.
6. Data Models and Accelerations
Working with data models.
Configuring and managing data model accelerations.
7. Splunk Cloud Security and Compliance
Security best practices.
Managing access controls and encryption in Splunk Cloud.
Understanding Splunk’s compliance certifications (e.g., SOC2, ISO).
8. Splunk Apps and Add-ons
Installing and managing apps in Splunk Cloud.
Best practices for managing app upgrades and troubleshooting.
9. Backup and Data Retention
Data retention policies.
Managing data storage and ensuring data redundancy.
10. Cluster Management (for hybrid environments)
Overview of clustered deployment (where applicable).
Managing hybrid environments (Splunk Enterprise + Splunk Cloud).
11. Advanced Administration Tasks
Managing data pipelines.
Handling edge cases and troubleshooting in cloud environments.
These topics provide a framework to guide your preparation.
QUESTION 1
At what point in the indexing pipeline set is SEDCMD applied to data?
A. In the aggregator queue
B. In the parsing queue
C. In the exec pipeline
D. In the typing pipeline
Answer: D
Explanation:
In Splunk, SEDCMD (Stream Editing Commands) is applied during the Typing Pipeline of the data
indexing process. The Typing Pipeline is responsible for various tasks, such as applying regular
expressions for field extractions, replacements, and data transformation operations that occur after
the initial parsing and aggregation steps.
Heres how the indexing process works in more detail:
Parsing Pipeline: In this stage, Splunk breaks incoming data into events, identifies timestamps, and assigns metadata.
Merging Pipeline: This stage is responsible for merging events and handling time-based operations.
Typing Pipeline: The Typing Pipeline is where SEDCMD operations occur. It applies regular
expressions and replacements, which is essential for modifying raw data before indexing. This
pipeline is also responsible for field extraction and other similar operations.
Index Pipeline: Finally, the processed data is indexed and stored, where it becomes available for searching.
Splunk Cloud Reference: To verify this information, you can refer to the official Splunk documentation
on the data pipeline and indexing process, specifically focusing on the stages of the indexing pipeline
and the roles they play. Splunk Docs often discuss the exact sequence of operations within the
pipeline, highlighting when and where commands like SEDCMD are applied during data processing.
Source:
Splunk Docs: Managing Indexers and Clusters of Indexers
Splunk Answers: Community discussions and expert responses frequently clarify where specific operations occur within the pipeline.
QUESTION 2
When monitoring directories that contain mixed file types, which setting should be omitted from inputs, conf and instead be overridden in propo.conf?
A. sourcetype
B. host
C. source
D. index
Answer: A
Explanation:
When monitoring directories containing mixed file types, the sourcetype should typically be
overridden in props.conf rather than defined in inputs.conf. This is because sourcetype is meant to
classify the type of data being ingested, and when dealing with mixed file types, setting a single
sourcetype in inputs.conf would not be effective for accurate data classification. Instead, you can use
props.conf to define rules that apply different sourcetypes based on the file path, file name patterns,
or other criteria. This allows for more granular and accurate assignment of sourcetypes, ensuring the
data is properly parsed and indexed according to its type.
Splunk Cloud Reference: For further clarification, refer to Splunk’s official documentation on
configuring inputs and props, especially the sections discussing monitoring directories and configuring sourcetypes.
Source:
Splunk Docs: Monitor files and directories
Splunk Docs: Configure event line breaking and input settings with props.conf
QUESTION 3
How are HTTP Event Collector (HEC) tokens configured in a managed Splunk Cloud environment?
A. Any token will be accepted by HEC, the data may just end up in the wrong index.
B. A token is generated when configuring a HEC input, which should be provided to the application developers.
C. Obtain a token from the organization’s application developers and apply it in Settings > Data Inputs > HTTP Event Collector > New Token.
D. Open a support case for each new data input and a token will be provided.
Answer: B
Explanation:
In a managed Splunk Cloud environment, HTTP Event Collector (HEC) tokens are configured by an
administrator through the Splunk Web interface. When setting up a new HEC input, a unique token is
automatically generated. This token is then provided to application developers, who will use it to
authenticate and send data to Splunk via the HEC endpoint.
This token ensures that the data is correctly ingested and associated with the appropriate inputs and indexes.
Unlike the other options, which either involve external tokens or support cases, option B
reflects the standard procedure for configuring HEC tokens in Splunk Cloud, where control over
tokens remains within the Splunk environment itself.
Splunk Cloud Reference: Splunk’s documentation on HEC inputs provides detailed steps on creating
and managing tokens within Splunk Cloud. This includes the process of generating tokens,
configuring data inputs, and distributing these tokens to application developers.
Source:
Splunk Docs: HTTP Event Collector in Splunk Cloud Platform
Splunk Docs: Create and manage HEC tokens
QUESTION 4
Which of the following statements regarding apps in Splunk Cloud is true?
A. Self-service install of premium apps is possible.
B. Only Cloud certified and vetted apps are supported.
C. Any app that can be deployed in an on-prem Splunk Enterprise environment is also supported on Splunk Cloud.
D. Self-service install is available for all apps on Splunkbase.
Answer: B
Explanation:
In Splunk Cloud, only apps that have been certified and vetted by Splunk are supported. This is
because Splunk Cloud is a managed service, and Splunk ensures that all apps meet specific security,
performance, and compatibility requirements before they can be installed. This certification process
guarantees that the apps wont negatively impact the overall environment, ensuring a stable and secure cloud service.
Self-service installation is available, but it is limited to apps that are certified for Splunk Cloud. Noncertified
apps cannot be installed directly; they require a review and approval process by Splunk support.
Splunk Cloud Reference: Refer to Splunks documentation on app installation and the list of Cloudvetted
apps available on Splunkbase to understand which apps can be installed in Splunk Cloud.
Source:
Splunk Docs: About apps in Splunk Cloud
Splunkbase: Splunk Cloud Apps
QUESTION 5
When using Splunk Universal Forwarders, which of the following is true?
A. No more than six Universal Forwarders may connect directly to Splunk Cloud.
B. Any number of Universal Forwarders may connect directly to Splunk Cloud.
C. Universal Forwarders must send data to an Intermediate Forwarder.
D. There must be one Intermediate Forwarder for every three Universal Forwarders.
Answer: B
Explanation:
Universal Forwarders can connect directly to Splunk Cloud, and there is no limit on the number of
Universal Forwarders that may connect directly to it. This capability allows organizations to scale
their data ingestion easily by deploying as many Universal Forwarders as needed without the
requirement for intermediate forwarders unless additional data processing, filtering, or load balancing is required.
Splunk Documentation Reference: Forwarding Data to Splunk Cloud