suggest candidates looking to prepare for this exam complete the following Single subject courses: Working with Time Statistical Processing Comparing Values Result Modification Correlation Analysis Creating creation and exam registration provided at www.pearsonvue.com/splunk Payment will be collected at the time Failure to cancel or reschedule an exam within this timeframe results in forfeiture of registration fee

Splunk Credit Value : 50 Duration : 3 hours Time : 9:00 am - 12:00 pm AEST Please use the currency convertor To be successful, students must have completed these Splunk Education course(s) or have equivalent working knowledge: Intro to Splunk Using Fields Visualizations Working with Time Statistical Processing Comparing Splunk Course are delivered live and in English and provide access to customers spanning multiple timezones Dates and times displayed for each course are relative to Australian Eastern Time (AET).

Splunk Credit Value: 100 Duration: 2 days Time: 11am – 3.30 pm AEST Objectives Objectives Module 1 – status and other search job properties Module 6 – Advanced Searching and Job Management Executing a real time search Working with large results sets Working with saved searches Managing search jobs Module 7 – Working Intro to Splunk Using Fields Working with Time Statistical Processing Search Under the Hood Introduction Dates and times displayed for each course are relative to Australian Eastern Time (AET).

candidates looking to prepare for this exam complete the following Single subject courses : Using Fields Working with Time Comparing Values Result Modification Leveraging Lookups and Subsearches Correlation Analysis creation and exam registration provided at www.pearsonvue.com/splunk Payment will be collected at the time Failure to cancel or reschedule an exam within this timeframe results in forfeiture of registration fee

Course Topics Writing your first SignalFlow program Working with Data Streams in Splunk Observability Note: If you have not worked extensively with Splunk Observability Cloud you should take another course Participant, Splunk Fundamentals 2 Splunk Credit Value: 100 Duration: 9 hours Time: 9am – 1.30pm AET Note: If you have not worked extensively with Splunk Observability Cloud you should take another course Dates and times displayed for each course are relative to Australian Eastern Time (AET).

Splunk Credit Value : 200 Duration : 18 hours over 4 days Time : 9:00 am - 1:30 pm AEST *Course discounts Manage Notable Events Configure Adaptive Thresholds and Anomaly Detection Customize Deep Dive views Work Implementing Services Use a service design to implement services in ITSI Module 9 – Thresholds and Time Policies Create KPI’s with static and adaptive thresholds Use Time policies to define flexible thresholds Dates and times displayed for each course are relative to Australian Eastern Time (AET).

advanced lookup topics, advanced alert actions, using regex and erex to extract fields, using spath to work Commands Advanced eval Commands Advanced Lookups Alert Actions Advanced Field Creation and Management Working Inline extractions best practices using regex Working with structured data sources eg JSON and XML and Using streamstats Module 2: Exploring eval Command Functions Using conversion functions Using data and time Dates and times displayed for each course are relative to Australian Eastern Time (AET).

Topics will cover types of knowledge objects, the search-time operation sequence, and the processes for Splunk Credit Value : 50 Duration : 3 hours Time : 9:00 am - 12:00 pm AEST Please use the currency convertor Creating Knowledge Objects - Course Topics Knowledge Objects and Search-time Operations Creating Event role of knowledge objects for enriching data Define search-time operation sequence Topic 2 – Creating Dates and times displayed for each course are relative to Australian Eastern Time (AET).

Splunk Credit Value : 225 Duration : 18 hours over 3 days Time : 9:00 am - 4:00 pm AEST *Course discounts the input phase parsing process Define transformations to modify data before indexing Define search time and time zones are extracted or assigned to events Use Data Preview to validate event creation during extractions Describe default search time extractions Manage orphaned knowledge objects Splunk Course Dates and times displayed for each course are relative to Australian Eastern Time (AET).

Splunk Credit Value : 50 Duration : 3 hours Time : 9:00 am - 12:00 pm AEST Please use the currency convertor knowledge: How Splunk works Knowledge objects Enriching Data With Lookups - Audience Knowledge Manager Define a lookup ad the default lookup types Lookups and the search-time operation sequence Topic 2 – Creating Lookups Use file-based lookups at search time Create (upload, define, configure) a lookup Use Dates and times displayed for each course are relative to Australian Eastern Time (AET).

providing support for or managing remote end-user connectivity and productivity within a business supported Work designed to provide a comprehensive overview of uberAgent within the context of a supported business Work Installation Configuration Optimisation Logging Use cases Track application and Citrix performance Check Logon times and duration Monitor employee login times Application reliability and usage (license and application counts) Browser performance per website response times per business critical app Analysing VPN usage

Participant, Splunk Fundamentals 2 Splunk Credit Value: 50 Duration: 3 hours Time: 11am – 2pm AEST Objectives SOAR investigation concepts ROI view Using the Analyst Queue Using indicators Using search Topic 2 – Working on Events Using the investigation page to work on events Use the heads-up display Set event status and Ingeniq Course are delivered live and in English and provide access to customers spanning multiple timezones Dates and times displayed for each course are relative to Australian Eastern Time (AET).