Adobe AD0-E207 Exam Practice Test Instant Access

Question 1

A company develops a new website using a Single Page Application framework. A data layer variable called dataLayer.url is updated with the correct URL when each state change happens.

Which variable should the Architect map to dataLayer.url?

As.pageURL

Bs.linklnternalFilters

Cs.url

Ds.spaURL

Answer : A

For Single Page Applications (SPAs), it is important to capture the URL changes correctly. The s.pageURL variable should be mapped to dataLayer.url to ensure that Adobe Analytics captures the correct URL each time the state changes in the SPA. This allows accurate tracking of user navigation within the SPA framework.

Question 2

Which item must be embedded in your pages to asynchronously deploy Adobe Analytics with Launch?

AReports & Analytics page code

BHeader code

CHeader and Footer code

DReference to AppMeasurement.js

Answer : B

To deploy Adobe Analytics with Launch asynchronously, the necessary JavaScript library must be referenced in the header code of the HTML page. This ensures that the Launch library is loaded early in the page load process, allowing it to manage and fire tags efficiently.

Question 3

A company is beginning a full re-architecture of their website. They will use Adobe Launch as the tag management system. How should an Architect recommend that the data layer object be generated each time a page is requested?

AVia logic in the tag management system, executed on DOMReady

BVia server-side code and included in a <script> block in the page HTMLs <head> section

CVia server-side code and included in a <meta> tag in the page HTMLs <head> section

DVia DOM scraping initialized by a custom external JavaScript file

Answer : B

The best practice for generating the data layer object each time a page is requested is to use server-side code to include the data layer in a <script> block in the page HTML's <head> section. This ensures that the data layer is available as soon as the page starts loading and can be used by Adobe Launch and other scripts. By having the data layer generated server-side, it reduces reliance on the client-side code and ensures the data is consistent and accurate for each page load.

Question 4

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?

AeVar1 has classifications associated with it that parse out values based on the ':' delimiter.

BThe values in eVar1 are set by processing rules or Vista Rules.

CeVar1 was set through the data insertion API.

DDue to the size of the payload. this server call was sent through the POST method.

Answer : B

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.

Question 5

An Architect needs to create a segment of users that started a visit from a campaign and completed an order.

A specific product demo page and coupon page can be viewed in any order between the landing page and the order confirmation page.

What should the Architect use to meet the requirements?

ANon-sequential containers

BLogical group containers

COnly before sequence segments

DOnly after sequence segments

Answer : A

In Adobe Analytics, non-sequential segments allow for the inclusion of conditions that do not necessarily occur in a specific order. Since the specific product demo page and coupon page can be viewed in any order between the landing page and the order confirmation page, non-sequential containers are the appropriate choice. They allow for the creation of a segment where users must have started their visit from a campaign and completed an order, without enforcing a strict sequence for intermediate steps.

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