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.)
D, E, F
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).
An automobile manufacturer recently integrated Adobe Audience Manager (AAM) with Adobe
Analytics.
The business wants to bring in multiple AAM segments inside analytics to associate other metrics
with the AAM segments. Also, AAM needs analytics data to create first party traits.
Which configuration should be used to enable a two-way integration?
D
Explanation:
Business Requirement: Enable a two-way integration between Adobe Audience Manager (AAM)
and Adobe Analytics.
Configuration Needs:
List Variable: Used to bring in multiple AAM segments into Adobe Analytics.
Server-Side Forwarding: Ensures that data flows between Adobe Analytics and AAM seamlessly.
Explanation:
List Variable: Suitable for handling multiple segments and their associations with other metrics
within Adobe Analytics.
Server-Side Forwarding: This method ensures real-time data exchange between the platforms,
enabling both to use each other's data for enhanced segmentation and reporting.
Verification: According to Adobe's documentation on integrating Audience Manager and Analytics,
using list variables with server-side forwarding is the recommended approach for robust two-way
integration (Adobe Audience Manager and Analytics Integration Guide).
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?
C
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).
A Business Requirements Document states that a company wants to be able to report on their
Facebook and Twitter activity separately in their Marketing Channel reports. Their tracking codes
start with the strings "socialjb" and "sociaLtw" to identify their Facebook and Twitter traffic,
respectively.
Which rules should be configured to meet the Marketing Channel requirements?
C
Explanation:
Business Requirement: Report on Facebook and Twitter activity separately in Marketing Channel
reports.
Configuration Steps:
Identify Social Media Traffic: Create a rule to identify all social media traffic.
Split Facebook and Twitter Traffic: Create rules to distinguish traffic from Facebook and Twitter based
on tracking codes.
Explanation:
First Rule for Social Media Traffic: This rule captures all social media traffic under a single category.
Second Rule to Split Traffic: Additional rules to distinguish between Facebook and Twitter based on
specific tracking codes ("socialjb" for Facebook and "sociaLtw" for Twitter).
Verification: According to Adobe's documentation on Marketing Channel Processing, using multiple
rules to identify and then split traffic ensures detailed and accurate reporting (Adobe Analytics
Marketing Channel Processing Rules Guide).
An Architect needs to add a new enterprise user via the Adobe Admin console for enterprises. Which
steps should the Architect take?
B
Explanation:
To add a new enterprise user via the Adobe Admin Console for enterprises, the Architect should
follow these steps:
Input the user's email address: This is the primary identifier for the user in the Adobe Admin
Console.
Assign a product profile: Product profiles determine the level of access and permissions the user will
have within the specific Adobe products.
Assign the user to a user group: User groups help in managing users by grouping them based on their
roles or responsibilities, simplifying the process of assigning permissions and product profiles.
This method ensures that the user has the correct access and can utilize the Adobe products as
intended.
Reference:
Adobe Admin Console User Management Guide
A company has a business requirement to capture the following information on the order
confirmation page of an ecommerce site:
1. Product Name (in eVar2)
2. Product SKU
3. Product Level Coupon Code (in eVarl)
4. Product Level Discount (in eventl)
A customer visits the site, searches for a smart phone, and purchases an Amaze Touch Pro for $700.
The customer receives a discount of $70 by applying coupon code "SUMMER10". On the Order
Confirmation page, the SKU appears in the data layer as "atp29
Which s.products syntax should be used?
Which s.products syntax should be used?
D
Explanation:
To correctly capture the specified data in Adobe Analytics, the s.products syntax needs to be properly
formatted to include the product SKU, quantity, price, and custom variables and events. The correct
format is:
SKU: atp29
Quantity: 1
Price: 700.00
Event1: 70.00 (discount)
eVar1: SUMMER10 (coupon code)
eVar2: Amaze Touch Pro (product name)
The correct syntax is:
arduino
Copy code
s.products = ";atp29;1 ;700.00;eventl =70.00;eVar1 =SUMMER10|eVar2=Amaze Touch Pro";
This format ensures that all the specified information is correctly captured and recorded in Adobe
Analytics.
Reference:
Adobe Analytics Product Variable Guide
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.)
B, D
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.
Reference:
Adobe Analytics Virtual Report Suites Guide
A media company has a business requirement to capture a value of the news sections (politics,
sports, food) that an art belongs to that visitors engage with. The company wants to understand and
analyze the contribution the news sections give to any type of conversion.
The company also wants to assign attribution to all of the news sections engaged with when a
conversion takes place during the active session to analyze what news sections play a role in the
conversion activity.
Which solution should the architect use?
A.
• Assign a custom prop to capture the news section value
• Enable list support
• Enable pathing
B.
• Assign a custom eVar to capture the news section value
• Enable last touch (most recent) attribution to the eVar
• Expire the eVar after 30 days
C.
• Assign a custom prop to capture the news section value
• Enable display of participation metrics
• Enable pathing
D.
• Assign a custom eVar to capture the news section value
• Enable linear attribution to the eVar
• Expire the eVar after the visit
D
Explanation:
To capture and analyze the contribution of news sections to conversions, the following steps should
be taken:
Assign a custom eVar to capture the news section value: This allows for tracking which news sections
users engage with.
Enable linear attribution to the eVar: Linear attribution ensures that all news sections engaged with
during a session are credited proportionally for any conversions, providing a more balanced view of
their contribution.
Expire the eVar after the visit: This ensures that the attribution is relevant to the current session and
does not carry over to future sessions, maintaining accuracy in conversion analysis.
This approach provides a clear and comprehensive understanding of how different news sections
contribute to conversions.
Reference:
Adobe Analytics Attribution Models Guide
For an online retail company, propl 7 and prop24 are used to collect link name and link type
respectively, and are sent via an s.tl() call.
An Architect is assigned to create a segment at a visitor level where the propl 7 was set to "Checkout'
, prop24 was set to 'custom link' , and a product xyz" was purchased in the same visit.
How should the Architect build this segment?
C
Explanation:
To create a segment that captures visitors who engaged with a specific link type and purchased a
specific product within the same visit, the following structure should be used:
Visitor container: Ensures the segment applies to the entire visitor’s history.
Visit container (product = "xyz"): Ensures that the product "xyz" was purchased during the visit.
**Hit (prop17 = "Checkout"
Top of Form
Bottom of Form
A company has a website with many forms.
The company wants the ability to report on:
• Form errors per visit
• Form errors per form
• Successful form submissions
Which three variables should be used to meet these requirements? (Choose three.)
A, D, E
Explanation:
Business Requirement: The company wants to track successful and unsuccessful form submissions
and identify the types of forms being submitted.
Variables and Metrics Needed:
Event for "Forms Submitted with Errors": Captures instances where forms are submitted but contain
errors.
eVar for "Form Type": Identifies the type of form being submitted, which is crucial for analyzing
different form performance.
Event for "Forms Submitted Successfully": Captures instances where forms are successfully
submitted.
Explanation:
Event for "Forms Submitted with Errors": Essential for understanding and improving form completion
processes by identifying where users encounter issues.
eVar for "Form Type": Provides detailed breakdowns of form performance by type, aiding in targeted
improvements.
Event for "Forms Submitted Successfully": Measures the completion rate of forms, which is critical
for business metrics.
Verification: According to Adobe Analytics best practices, using specific events for tracking
successful and error submissions alongside eVars for categorization provides comprehensive insights
(Adobe Analytics Implementation Guide).