Adobe AD0-E207 Exam Practice Test Instant Access

Question 1

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?

AConfigure an eVar as Merchandising with Original Value (First) allocation and set the expiration to 3rd Visit.

BConfigure an event to capture the revenue and enable the participation and set the expiration of the visit to 90 days.

CConfigure an event as Merchandising event to capture the revenue and set the expiration of the visit to 30 days.

DConfigure an eVar as a Merchandising Variable with Original Value (First) allocation and set the expiration to the purchase event.

Answer : D

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).

Question 2

The Architect needs to collect a value in a prop to use it within pathing reports and an eVar so that the value can persist. The Architect also needs to reduce the size of the server call as much as possible.

Which method should the Architect use?

AA VISTA rule to copy the prop value to the eVar

Bs.eVarl = s.propl

Cs.eVarl = 'D=c1'

DA processing rule to copy the prop value to the eVar

Answer : C

Introduction: The requirement is to use a value in both a prop (for pathing reports) and an eVar (for persistence) while minimizing the size of the server call.

Explanation of Methods:

A . A VISTA rule to copy the prop value to the eVar:

VISTA (Visitor Identification, Segmentation & Transformation Architecture) rules are server-side rules that can copy values between variables. However, they are complex, incur additional costs, and do not reduce server call size.

B . s.eVar1 = s.prop1:

Directly setting the eVar value to the prop value in the code is straightforward but does not minimize the server call size as both values are separately included in the request.

C . s.eVar1 = 'D=c1':

This method uses dynamic variable substitution, which reduces the server call size by referencing the prop value (c1) directly in the eVar without duplicating the data in the request.

Verification: Check the Adobe Analytics server call in the Network tab to confirm the reduced size.

D . A processing rule to copy the prop value to the eVar:

Processing rules can be used to copy values server-side, similar to VISTA rules but without the additional cost. However, this approach does not minimize the server call size.

Detailed Steps:

Dynamic Variable Substitution:

Set the eVar value to reference the prop value using the syntax s.eVar1 = 'D=c1'.

This tells Adobe Analytics to dynamically substitute the value of c1 (prop1) into eVar1 without sending redundant data.

Example:

s.prop1 = 'exampleValue';

s.eVar1 = 'D=c1';

Benefits:

Reduced Server Call Size: By using dynamic variable substitution, the server call payload is smaller, optimizing data transmission.

Efficient Data Handling: The value is captured once in the prop and referenced in the eVar, maintaining efficiency and persistence.

References:

Adobe Analytics Implementation Documentation: Dynamic Variable Substitution

Adobe Analytics Network Call Analysis Guide: Understanding Server Calls

By using s.eVar1 = 'D=c1', the Architect achieves the goal of collecting the value in both a prop and an eVar efficiently while minimizing the server call size.

Question 3

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 4

An Architect needs to track a site feature with a new eVar and make sure that the data is GDPR compliant. The Architect has already configured the new eVar in the Report Suite Admin panel. Which additional task should the Architect perform?

AIn existing Report Builder spreadsheets, add the new variable to existing data requests

BIn the Data Sources panel, add the new variable to any scheduled imports

CIn the Data Governance Admin panel, add data governance labels to the variable

DIn the Data Connectors Admin panel, add the new variable to existing Data Connector configurations

Answer : C

Business Requirement: Ensure GDPR compliance for a new eVar tracking a site feature.

Additional Configuration:

Data Governance Labels: Essential for ensuring that the data collected complies with GDPR by appropriately labeling the data for privacy and security.

Explanation:

Data Governance Admin panel: Adding governance labels to the new eVar helps categorize and manage data according to GDPR compliance standards.

Verification: According to Adobe Analytics GDPR compliance documentation, adding governance labels in the Data Governance Admin panel is a critical step for ensuring data privacy and compliance (Adobe Analytics GDPR Compliance Guide).

Question 5

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?

A';atp29;1 ;700.00;eVarl =SUMMER10|eVar2=Amaze Touch Pro;event1 =70.00';

B';Amaze Touch Pro;! ;700.00;event1 =70.00;eVan =SUMMER10|eVar2=Amaze Touch Pro';

C;atp29;700.00;eventl =70.00;eVar1 =SUMMER10|eVar2=Amaze Touch Pro';

D';atp29;l ;700.00;eventl =70.00;eVar1 =SUMMER10|eVar2=Amaze Touch Pro';

Answer : D

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:

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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.

Question 6

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?

A(Units) -r (orders where Navigation is the PFM)

BNavigation click-through rate (Navigation clicks * page views)

CNavigation usage rate per visit (Navigation clicks * visits)

D(Product Views with Navigation as the PFM) * (Navigation clicks)

Answer : C

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.

Question 7

What are three uses of Processing Rules? (Choose three.)

AClean up misspelled site sections

BPopulate campaign with a query string parameter

CCopy an eVar into a prop to see pathing

DAdd classification rules for props and eVars

ERead eVar values from the product string

Answer : A, B, C

Processing Rules in Adobe Analytics are versatile and can be used for various purposes:

Clean up misspelled site sections: Corrects misspelled values in data collection to ensure accurate reporting.

Populate campaign with a query string parameter: Extracts query string parameters and uses them to populate campaign variables.

Copy an eVar into a prop to see pathing: Allows copying values from an eVar to a prop to enable pathing analysis on that variable.

These rules help maintain data quality and flexibility in reporting.

Adobe Analytics Architect Master AD0-E207 Exam Practice Test