Adobe AD0-E207 Exam Practice Test Instant Access

Question 1

A coworker creates the calculated metric named "Orders / Visits" in Adobe Analytics to determine the percentage of visits that purchased something on the company's website.

The coworker includes the calculated metric in the Products report. The coworker notices that the sum of the orders for the products is greater than the total orders shown in the report.

What should the Architect do?

ACreate a new classification and upload the SAINT file

BCreate a Data Source to upload the totals

CPut the Orders and Visits into a new event using Processing Rules

DCreate a calculated metric that includes Total versions of the metrics

Answer : D

The issue arises because the calculated metric 'Orders / Visits' is not aggregating correctly at the product level in the Products report. To resolve this, the Architect should create a calculated metric that uses the Total versions of the Orders and Visits metrics. This ensures that the calculation is performed on the overall totals rather than individual line items, providing an accurate percentage of visits that resulted in purchases.

Question 2

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.)

AeVar for 'Blog Campaign'

Bs.referrer

Cs.campaign = 'Organic Social Network'

DeVar for 'Blog Post Title'

EeVar for 'Blog Share Social Network'

FEvent for 'Blog Shares'

Answer : D, E, F

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).

Question 3

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.)

Acart adds

Binternal searches

Ccheckouts

Dform completions

Epurchases

Answer : A, D

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.

Question 4

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?

As.products = ';:car stereo;1 ;820;eventl 00=23'

Bs.products = ';car stereo;1 ;820;;event100=23'

Cs.products = ';car stereo;! ;820:event100=23'

Ds.products = ';car stereo;!;820;eventl00=23'

Answer : B

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.

Question 5

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?

AeVars will not persist as a user moves to the checkout section.

BAs visitors move to checkout, they will be tracked as a different visitor.

CCheckout will be considered a landing page.

DThere will be inconsistencies in the data due to challenging upkeep.

Answer : D

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.

Question 6

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.)

ABreak down 'None1' Marketing Channel by Tracking Code

BReview Marketing Channel Processing Rules

CReview Marketing Channel Data Feeds

DCheck that Internal URL Filters are configured correctly

EReview Marketing Channel Data Connector settings

Answer : B, D

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).

Question 7

While auditing the Adobe Analytics implementation, an Architect finds that the hourly unique visitor report is 3 hours behind.

What is causing this issue?

AIncreased unique variable values

BIncreased number of users running repots

CNew variables enabled for report suite

DAn unexpected traffic spike

Answer : D

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).

Adobe AD0-E207 Adobe Analytics Architect Master Exam Practice Test