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AD0-E207: Adobe Analytics Architect Master
Adobe
Exam Questions:
50
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The AD0-E207 also known as Adobe Analytics Architect Master, this exam is crucial for professionals in the field of Adobe Analytics. To increase your chances of passing, practicing with real exam questions shared by those who have succeeded can be invaluable. In this guide, we’ll provide you with practice test questions and answers, offering insights directly from candidates who have already passed the exam.
Why Use AD0-E207 Practice Test?
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Real Exam Experience: Our practice tests accurately replicate the format and difficulty of the actual AD0-E207 exam, providing you with a realistic preparation experience.
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Identify Knowledge Gaps: Practicing with these tests helps you identify areas where you need more study, allowing you to focus your efforts effectively.
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Boost Confidence: Regular practice with exam-like questions builds your confidence and reduces test anxiety.
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Track Your Progress: Monitor your performance over time to see your improvement and adjust your study plan accordingly.
Key Features of AD0-E207 Practice Test:
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Up-to-Date Content: Our community ensures that the questions are regularly updated to reflect the latest exam objectives and technology trends.
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Detailed Explanations: Each question comes with detailed explanations, helping you understand the correct answers and learn from any mistakes.
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Comprehensive Coverage: The practice tests cover all key topics of the AD0-E207 exam, including:
- Discovery
- Solution Design
- Post-Implementation
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Customizable Practice: Create your own practice sessions based on specific topics or difficulty levels to tailor your study experience to your needs.
Exam Details:
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Exam Number: AD0-E207
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Exam Name: Adobe Analytics Architect Master
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Length of Test: 100 minutes
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Exam Format: Web-based with multiple-choice, multiple-response, drag-and-drop, and point-and-click questions
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Exam Language: English
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Number of Questions: 50 questions
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Passing Score: 70%
Use the member-shared AD0-E207 Practice Tests to ensure you're fully prepared for your certification exam. Start practicing today and take a significant step towards achieving your certification goals!
Related questions
The Architect needs to collect a value in a prop to use it within pathing reports and an eVar so that the value can persist. The Architect also needs to reduce the size of the server call as much as possible.
Which method should the Architect use?
Explanation:
Introduction: The requirement is to use a value in both a prop (for pathing reports) and an eVar (for persistence) while minimizing the size of the server call.
Explanation of Methods:
A . A VISTA rule to copy the prop value to the eVar:
VISTA (Visitor Identification, Segmentation & Transformation Architecture) rules are server-side rules that can copy values between variables. However, they are complex, incur additional costs, and do not reduce server call size.
B . s.eVar1 = s.prop1:
Directly setting the eVar value to the prop value in the code is straightforward but does not minimize the server call size as both values are separately included in the request.
C . s.eVar1 = 'D=c1':
This method uses dynamic variable substitution, which reduces the server call size by referencing the prop value (c1) directly in the eVar without duplicating the data in the request.
Verification: Check the Adobe Analytics server call in the Network tab to confirm the reduced size.
D . A processing rule to copy the prop value to the eVar:
Processing rules can be used to copy values server-side, similar to VISTA rules but without the additional cost. However, this approach does not minimize the server call size.
Detailed Steps:
Dynamic Variable Substitution:
Set the eVar value to reference the prop value using the syntax s.eVar1 = 'D=c1'.
This tells Adobe Analytics to dynamically substitute the value of c1 (prop1) into eVar1 without sending redundant data.
Example:
s.prop1 = 'exampleValue';
s.eVar1 = 'D=c1';
Benefits:
Reduced Server Call Size: By using dynamic variable substitution, the server call payload is smaller, optimizing data transmission.
Efficient Data Handling: The value is captured once in the prop and referenced in the eVar, maintaining efficiency and persistence.
References:
Adobe Analytics Implementation Documentation: Dynamic Variable Substitution
Adobe Analytics Network Call Analysis Guide: Understanding Server Calls
By using s.eVar1 = 'D=c1', the Architect achieves the goal of collecting the value in both a prop and an eVar efficiently while minimizing the server call size.
A company 'XYZ Corp' has multiple departments and would like to restrict access to data to different business groups based on their own department. What would be the correct ways of restricting the data? (Choose two.)
Explanation:
To restrict data access to different business groups based on their department, the following methods can be used:
Create a global report suite with an eVar set to the department then create virtual suites based on that eVar: This method allows for a single comprehensive dataset that can be segmented into virtual report suites for each department, making data management and reporting easier.
Create individual report suites for each department and assign each analyst the access rights: This approach provides complete data isolation for each department, ensuring that analysts only have access to their respective department's data.
Both methods ensure that data access is properly restricted and managed according to departmental boundaries.
A company has an email marketing tool that is used for both SMS and email.
The tool generates the following campaign URLs:
SMS link: www.website.com?cid=em:campaign_name-txt Email link: www.website.com?cid=em:campaign_name
How should the Architect configure Marketing Channel Processing Rules to identify the SMS channel?
Explanation:
Business Requirement: Distinguish between SMS and email campaigns using the 'cid' query string parameter.
Configuration Steps:
Identify SMS Links: Using the query string parameter 'cid' ending with '-txt'.
Processing Order: Ensuring the SMS channel is processed before the email channel.
Explanation:
Query String Parameter 'cid' Ends with '-txt': This setting ensures that any link containing 'cid' ending with '-txt' is identified as an SMS link.
Processing Order: Placing the SMS channel rule above the email channel ensures that SMS links are correctly categorized before the system checks for email links.
Verification: According to Adobe's Marketing Channel Processing Rules documentation, properly configuring query string parameters and processing order is crucial for accurate channel attribution (Adobe Analytics Marketing Channel Processing Rules Guide).
An Architect needs to track a site feature with a new eVar and make sure that the data is GDPR compliant. The Architect has already configured the new eVar in the Report Suite Admin panel. Which additional task should the Architect perform?
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In reviewing data from a Data Feeds request, an Architect sees that on the same hit, eVar1 has no value but post_eVarl has the value: PDP:summer:sunglasses
Why are these values different?
Explanation:
The difference between eVar1 and post_eVar1 values indicates that processing rules or Vista Rules are being applied. Processing rules or Vista Rules can modify the values of variables after the initial data collection. In this case, eVar1 initially has no value, but post_eVar1 shows the modified value 'PDP:summer
' after the application of these rules.
A company wants the Architect to design tracking for a new blog post sharing feature that the company will add to their existing blog pages. This feature allows the visitor to share blog posts to their own social accounts.
The company wants the ability to report on:
* The total number of times each blog post was shared from the site
* The total number of shares to each social network
* The social networks to which each blog post was shared
Which three variables should the Architect use? (Choose three.)
Explanation:
Business Requirement: The company wants to track shares of blog posts to social networks and report on the total number of shares and the specific networks used.
Variables and Metrics Needed:
eVar for 'Blog Post Title': Captures the title of the blog post being shared.
eVar for 'Blog Share Social Network': Captures the social network to which the post is shared.
Event for 'Blog Shares': Captures the number of times a post is shared.
Explanation:
eVar for 'Blog Post Title': This variable allows reporting on the specific blog posts being shared.
eVar for 'Blog Share Social Network': This variable tracks which social networks the posts are shared to, enabling detailed reporting.
Event for 'Blog Shares': This metric captures the total number of shares, providing a quantifiable measure of sharing activity.
Verification: According to Adobe Analytics best practices for tracking social sharing, using specific eVars for post titles and social networks along with an event for total shares ensures comprehensive reporting (Adobe Analytics Implementation Guide).
While auditing the Adobe Analytics implementation, an Architect finds that the hourly unique visitor report is 3 hours behind.
What is causing this issue?
Explanation:
Overview of the Issue: The hourly unique visitor report being 3 hours behind indicates a delay in data processing within Adobe Analytics.
Potential Causes: The delay could be due to several factors such as increased data volume, server performance issues, or unexpected traffic spikes.
Increased unique variable values: This could slow down processing, but it typically affects data collection rather than causing such a significant delay.
Increased number of users running reports: This might slow down the user interface and report generation, but not data processing itself.
New variables enabled for report suite: This usually affects the data collection stage and can cause delays but would not typically result in a consistent 3-hour lag.
An unexpected traffic spike: A sudden increase in traffic can overload data processing servers, causing delays in reporting as the system tries to catch up with the increased data volume.
Verification: According to Adobe's documentation, data processing delays are often caused by unexpected traffic spikes that increase the volume of data beyond typical processing capacity (Adobe Analytics Documentation).
A company wants to report on the monetary value of a visitor's cart when they reach the checkout page.
The company offers only 5 products online. They want to report on product names but do not want to upload files into Adobe Analytics to classify the product IDs.
A visitor reaches the checkout page with the following items in their cart:
* A single $8 Novelty Mug', product ID=123
* 2 bags of 'Coffee Beans'' with a total price of $10, product ID=234
Which variable values must be set to meet these requirements?
An Architect needs to update mobile data collection to comply with company and legal guidelines (GDPR, CCPA). The Architect discovers the Android version of their mobile application tracks the latitude, longitude, and iBeacon data. Tracking specific geographic data is now considered out of compliance with company guidelines, and must be updated.
Which call must be removed?
Which item must be embedded in your pages to asynchronously deploy Adobe Analytics with Launch?
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