Adobe AD0-E207 Exam Questions Instant Access

Question 1

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.)

AEvent for 'Forms Submitted with Errors'

Bs.pageType='errorPage'

CEvent for 'Visit Number'

DeVar for 'Form Type'

EEvent for 'Forms Submitted Successfully'

Answer : A, D, E

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).

Question 2

A Solution Design Reference (SDR) is built for architectsite.com. The site has the following business requirements:

* Report on newsletter sign-up attempts (event1) by URL

* View the user journey through the site by page name

* Track which site section successful newsletter sign-ups (event2) occur

Which query string parameters must be seen in the network request to meet the requirements?

Aevents=event1,event2 vl =architectsite.com pageName=homepage site=home

Bevents=eventl ,event2 vl =architectsite.com pageName=homepage cc=home

Cevents=event1 .event2 vl =architectsite.com pn=homepage ch=home

Devents-event! ,event2 vl =architectsite.com pageName=homepage ch=home

Answer : D

To meet the specified business requirements, the query string parameters in the network request must include:

events=event1,event2: This captures both newsletter sign-up attempts (event1) and successful sign-ups (event2).

vl=architectsite.com: This identifies the URL.

pageName=homepage: This tracks the user journey through the site by page name.

ch=home: This captures the site section where the successful newsletter sign-ups occur.

The combination of these parameters ensures that all the required data points are collected and reported accurately.

Question 3

A company is using Segment IQ to compare mobile and desktop traffic.

The metrics of interest to them are as follows:

* Page Views/Visitors

* Searches/Visitors

* Carts/Visitors

* Cart Additions/Visitors

* Revenue/Visitors

The differential score when comparing each metric with each segment is high at 0.9 or greater. What does this differential score indicate?

AThere is high statistical significance difference between these metrics and the 2 segments.

BMobile traffic is more valuable.

CDesktop traffic is more valuable.

DThere is no statistical significance difference between these metrics and the 2 segments.

Answer : A

Segment IQ in Adobe Analytics is used to compare different segments of traffic to determine the statistical significance of differences between metrics. A high differential score of 0.9 or greater indicates a high statistical significance difference between the metrics of the two segments. This means that the differences observed in metrics like Page Views/Visitors, Searches/Visitors, Carts/Visitors, Cart Additions/Visitors, and Revenue/Visitors are not due to random chance but are significant and meaningful.

Question 4

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?

AThree Marketing Channel Processing Rules, one that identifies social media traffic, one that identifies Facebook traffic, and one that identifies Twitter traffic

BOne Marketing Channel Processing Rule set that identifies social media traffic and then splits this into 'Facebook' and Twitter'

CTwo Marketing Channel Processing Rules, one that identifies social media traffic and one to split the Facebook and Twitter traffic

DTwo Marketing Channel Processing Rule sets that individually identify the Facebook and Twitter traffic

Answer : C

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).

Question 5

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).

Question 6

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?

As.events = 'scCheckout.eventl'
s.products = ';Novelty Mug;;;event1=8.00,;Coffee Beans;;;event1 =5.00';

Bs.events = 'scCheckout.eventl =8.00,event1 =10.00' s.products = ';Novelty Mug;;,;Coffee Beans;;';

Cs.events = 'ScCheckout.eventl'
s.products = ';123;;;event1=8.00.;234;;;event1 =10.00';

Ds.events = 'scCheckout,eventl'
s.products = ';Novelty Mug;;;event1=8.00,;Coffee Beans;;;event1 =10.00';

Answer : D

Business Requirement: Report on the monetary value of a visitor's cart at the checkout page without using product IDs.

Variable Configuration:

s.events: Captures the checkout event and the monetary value.

s.products: Lists the product names and their corresponding values.

Explanation:

s.events = 'scCheckout,event1': This sets the event to capture the checkout action and records the event value.

s.products = ';Novelty Mug;;;event1=8.00,;Coffee Beans;;;event1=10.00': This format lists the products by name and assigns their respective monetary values.

Verification: According to Adobe Analytics product string documentation, the format used correctly attributes product names and values to the checkout event (Adobe Analytics Implementation Guide).

Question 7

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).

Adobe Analytics Architect Master AD0-E207 Exam Questions