While auditing the Adobe Analytics implementation, an Architect finds that the hourly unique visitor
report is 3 hours behind.
What is causing this issue?
D
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.
Explanation:
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).
While auditing an Adobe Analytics implementation, an Architect discovers that reports built using
the Marketing Channel dimension show a large proportion of "None'' visits.
Which two steps should be taken to diagnose the problem? (Choose two.)
B, D
Explanation:
Overview of the Issue: The "None" value in Marketing Channel reports indicates visits that are not
attributed to any of the defined marketing channels.
Potential Diagnostic Steps:
Break down "None" Marketing Channel by Tracking Code: This can provide insights but does not
directly address the underlying configuration issues.
Review Marketing Channel Processing Rules: Ensures that the rules are correctly defined and
applied. Incorrect or missing rules can result in visits being categorized as "None".
Review Marketing Channel Data Feeds: Useful for data validation but not for configuration
troubleshooting.
Check that Internal URL Filters are configured correctly: Ensures that internal traffic is filtered out and
does not interfere with marketing channel attribution.
Review Marketing Channel Data Connector settings: Relevant for integrations but not for basic
processing rule configurations.
Explanation:
Review Marketing Channel Processing Rules: Essential to verify that all necessary rules are correctly
set up to attribute visits to the correct channels.
Check that Internal URL Filters are configured correctly: Ensures that visits from internal sources do
not affect marketing channel data, preventing incorrect attribution to "None".
Verification: According to Adobe Analytics Implementation documentation, reviewing processing
rules and internal URL filters is crucial for accurate channel attribution (Adobe Analytics
Implementation Guide).
A company has a secure website that requires visitors to log in prior to accessing any content beyond
the homepage. A visitor can log out manually, or their website will automatically log them out at the
end of their browser session. The visitor must log back in to continue browsing.
The company has a business requirement to track the login status of their visitors.
Which three login statuses should the Architect recommend capturing? (Choose three.)
A, D, E
Explanation:
Business Requirement: Track the login status of visitors on a secure website.
Potential Login Statuses:
"Unregistered / Logged Out": Tracks users who have not registered or have logged out.
"Anonymous": Generally used for visitors who browse without logging in, but does not apply in a
secure login-required context.
"Registered / Logged Out": Important for tracking users who have accounts but are currently logged
out.
"Registered / Logged In": Essential for tracking active, logged-in users.
"Incomplete Registration": Useful for identifying users who started but did not complete the
registration process.
"Unregistered / Logged In": Typically not applicable as unregistered users cannot be logged in.
Explanation:
"Unregistered / Logged Out": Helps in understanding the behavior of users who visit but have not
completed registration or logged out.
"Registered / Logged In": Critical for identifying and analyzing the behavior of active users.
"Incomplete Registration": Helps in identifying and addressing barriers in the registration process.
Verification: According to Adobe Analytics best practices, capturing various login statuses helps in
comprehensive user behavior analysis (Adobe Analytics User Guide).
A company wants to market to more visitors via email, SMS, and print mail. They obtain contact
details from visitors through their website account registration form. Their immediate business goal
is to increase website account registrations.
The Architect adds the following dimensions and metrics to the Measurement Plan:
eVar for Visitor Login Status
eVar for Form Name
Event for Form Starts
Event for Forms Submitted With Errors
Event for Forms Submitted Successfully
Which two calculated metrics should the Architect add to the Measurement Plan? (Choose two.)
A, E
Explanation:
Business Goal: Increase website account registrations by tracking relevant metrics.
Key Dimensions and Metrics: Visitor Login Status, Form Name, Form Starts, Forms Submitted With
Errors, Forms Submitted Successfully.
Calculated Metrics:
Registration Form Completion Rate: Measures the percentage of forms started that are successfully
completed, providing insights into form usability and effectiveness.
Return Visitation Rate: Tracks how often visitors return but is not directly related to registration form
completion.
Registered Visitor Transaction Rate: Useful for post-registration analysis but not directly for
increasing registrations.
Registered Visitor Form Start Rate: Redundant as registered visitors are less relevant for new
registrations.
Unregistered Visitor Registration Form Start Rate: Tracks the engagement of unregistered visitors
with the registration form, crucial for understanding initial interest.
Explanation:
Registration Form Completion Rate: Essential for evaluating the effectiveness of the registration
form.
Unregistered Visitor Registration Form Start Rate: Provides insights into how many new visitors are
interested in registering, a direct indicator of potential registration increase.
Verification: According to Adobe's Measurement Planning documentation, these calculated metrics
are vital for tracking and improving form conversion rates (Adobe Measurement Planning Guide).
During a website audit, an Architect finds that the checkout pages on the site have been redesigned
to include a tag management system that deploys Adobe Analytics.
The rest of the site has Adobe Analytics hard-coded onto the site. Both implementations use the
same AppMeasurement version and are on the same domain.
How will this approach affect the reporting?
D
Explanation:
When different parts of a website use different methods to implement Adobe Analytics (hard-coded
vs. tag management system), it can lead to inconsistencies in data reporting. This is because the two
methods might not be perfectly synchronized in terms of how they handle data collection, processing
rules, or variables. Despite using the same AppMeasurement version and operating on the same
domain, differences in the deployment method can cause issues such as discrepancies in variable
persistence, tracking cookies, or firing sequence of the analytics calls. These inconsistencies can
make it difficult to maintain and accurately report on the collected data.
Reference:
Adobe Analytics Implementation Guide
A new business requirement is submitted to start capturing the shipping cost of each order. After
updating the product string on the confirmation page to collect the shipping cost in event1 00, no
results show up for this event in Adobe Analytics.
s.products = ";car stereo;1;820;event100:123=23
Which code change should be made?
B
Explanation:
The issue in the original code lies in the incorrect placement of the event syntax. In Adobe Analytics,
when defining events in the product string, the correct format must be followed to ensure the event
is captured properly. Specifically, there needs to be a double semicolon (;;) before the event
definition.
The corrected code s.products = ";car stereo;1 ;820;;event100=23" ensures that the event is
recognized correctly by Adobe Analytics.
Reference:
Adobe Analytics Product Variable Guide
While preparing for a new analytics implementation for a site, you begin conducting stakeholder
interviews. Part of the conversation includes defining KPIs, including custom success events.
Which are two examples of custom success events on a site? (Choose two.)
A, D
Explanation:
Custom success events in Adobe Analytics are specific to the business goals and can vary widely
depending on the site’s purpose. Examples of such events typically include actions that are
significant indicators of user engagement or progress through a conversion funnel:
Cart Adds: Tracking how often users add items to their cart.
Form Completions: Monitoring the number of users who complete and submit forms on the site.
These are distinct from more generic metrics like purchases or checkouts which are often predefined
standard events in many analytics implementations.
Reference:
Adobe Analytics Custom Events
Which two are standard metrics? (Choose two.)
C, E
Explanation:
Standard metrics in Adobe Analytics are those that come pre-configured within the platform and are
commonly used across various types of implementations. These include:
Purchase: Tracks the completion of a purchase transaction.
Orders: Records the number of orders placed.
These metrics are essential for eCommerce tracking and are part of the standard set of metrics
available in Adobe Analytics.
Reference:
Adobe Analytics Standard Metrics
A retail company is tracking the following:
• An event for clicks on navigation
• An eVar for navigation items clicked on
• A conversion syntax merchandising eVar tracking navigation as a product finding method (PFM)
The company is in the beginning stages of a site redesign and wants to optimize their navigation
system.
Before they can optimize, the company needs to benchmark how effectively their current navigation
system brings visitors deeper into the site to find products.
Which metric should the Architect use?
C
Explanation:
To benchmark the effectiveness of the current navigation system, the Architect should look at the
navigation usage rate per visit. This metric, calculated by multiplying the number of navigation clicks
by the number of visits, provides insight into how often visitors are engaging with the navigation
system on a per-visit basis. It helps to understand the relative frequency of navigation usage, which is
crucial for optimizing the system and ensuring that it effectively helps users to explore the site and
find products.
Reference:
Adobe Analytics Navigation Metrics
For internal search terms, a company wants to give credit to the original keyword used to find a
product. On the first visit, a customer searches for "Mobile" and views the Nebulous Pro.
During the second visit, the customer refines this search to "5G Mobile" and views the Nebulous Pro
again. The customer then purchases the Nebulous Pro for S200 on the third visit. The company wants
"Mobile" to receive credit.
Which configurations should the Architect apply?
D
Explanation:
Business Requirement: The company wants to ensure that the original search term ("Mobile")
receives credit for the purchase, despite subsequent searches.
Understanding Merchandising eVars: Merchandising eVars are used to attribute success events (like
purchases) to specific values captured earlier (like search terms).
Allocation and Expiration Settings:
Original Value (First) Allocation: This setting ensures that the first value captured (in this case,
"Mobile") remains attributed to the visitor, regardless of subsequent values.
Expiration Setting: Setting the expiration to the purchase event ensures that the value ("Mobile")
remains active until the visitor makes a purchase.
Explanation:
Configure an eVar as Merchandising Variable: This allows tracking specific values like search terms in
relation to product views and purchases.
Original Value (First) Allocation: Ensures that the initial search term ("Mobile") gets credit.
Expiration to Purchase Event: Keeps the eVar value until the purchase is made, ensuring accurate
attribution.
Verification: According to Adobe Analytics documentation on Merchandising eVars, using Original
Value allocation with appropriate expiration settings ensures correct attribution of original search
terms to final purchases (Adobe Analytics Implementation Guide).
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