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Th is exam guide is designed to help prepare partners, customers, and consultants who are
actively seeking accreditation as an Adobe Certifi ed Expert (ACE). Th is guide, while designed
to describe the exam in detail and provide as much information as possible, is not
meant to be the sole means of exam preparation.
ACE: Analytics Developer exam overview
A typical candidate is responsible for mapping Analytics variables to business requirements. They are
responsible for deploying code required for data collection and for validation of deployed code. You may also
establish and potentially enforce standards for code deployment.
Exam description
The exam has two parts:
• 50 multiple-choice questions, covering a range of topics listed below
• A short survey that we use to gather information about your product experience
The exam has a time limit of 60 minutes, and includes a timer to mark the remaining time.
Exam code and name: 9A0-383 Analytics Developer ACE Exam
Exam scoring
The certification consists of achieving the minimum passing score, which is 66%, on a multiple choice
test. After completing the test, candidates will be immediately provided with the official score for the
exam. They will also receive an email with the official exam result.
Scheduling exams
The Analytics Developer exam is delivered through an independent testing provider, Pearson VUE. First time
candidates can view the step-by-step online scheduling guide here: http://www.pearsonvue.com/reg_guide/.
Returning candidates can register for exams here: http://www.pearsonvue.com/adobe/. Note that you
will be prompted to login before you may register for exams.
Exam preparation
The following are typical tasks that you should already be able to perform:
• Troubleshoot implementations
• Be familiar with debugging tools
• Understand client-side and server-side scripts
• Understand the relationship between variables and reports
• Design appropriate solutions for business requirements
• Maintain a deep understanding of report behavior
A
Exam topics include:
Working with variables
• Working with traffic variables
• Working with conversion variables
• Working with events
• Working with the products variable
• Understanding configuration variables
• Working with system variables
• Working with context data variables
• Working with dynamic variables
Understanding code components
• Understanding order of execution
• Generating JavaScript code
Manipulating data
• Defining processing rules
• Understanding Vista rules
• Configuring and deploying plug-ins
• Defining marketing channels
Importing and exporting data
• Working with APIs
• Data sources
• Genesis
• Classifications
• Data feeds
• Data warehouse
• Discover
• Report Builder
Using Dynamic Tag Management (DTM)
• Deploying tag manager code
• Configuring library hosting options
• Migrating existing implementations to DTM
• Setting data elements
• Setting page load rules
• Setting event-based rules
• Debugging DTM
• Using direct calls
Data aggregation models
• Understanding roll ups
• Understanding multi-suite tagging
• Understanding global suites
Working with cookies
• Implementing First party cookies
• Understanding third party cookies
• Understanding FID
• Understanding RDC
Report suites and account settings
• Configuring IP exclusion
• Defining Bot rules
• Adding internal URL filters
• Configuring paid search detection
• Configuring evar settings
Exam preparation checklist
• I can map Analytics variables to business requirements.
• I can deploy code required for data collection.
• I have been repsonsible for validation of deployed code
• I can establish and potentially enforce standars for code deployment.
• I have read and studied the topics listed in this exam guide.
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Exam Name: Adobe Analytics Architect
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9A0-386 Exam Syllabus Total Q&A: 60 Questions and Answers
Last Update: 2017-04-10
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Exam Name: Adobe Analytics Developer
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Last Update: 2017-04-10
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