Which two statements are accurate regarding segmentation options in Marketing Cloud?
Choose 2 answers

A.

A data extension can be updated using a query activity.

B.

A random data extension can be updated with a filter activity.

C.

A data filter can be automated with a filter activity.

D.

A filtered data extension can be populated with a filter activity.

An existing triggered send needs to be updated with new content
Select the correct sequence

A.

Pause message interaction, Edit message content, Publish changes, Start triggered
email interaction

A large retail group consists of a corporate team and several divisions operating under
different brand names. All plan to share one Marketing Cloud account. Each brand has its
own marketing department and operates independently, with its own creative assets,
subscribers, and data structure What are the two reasons why the recommended account configuration is one corporate
Parent account, with each brand configured as a separate child Business Unit? Choose 2
answers

A.

Email sends can be separated into Tracking folders for each brand.

B.

User roles can be customized to allow or deny specific permissions.

C.

Subscribers can be maintained at the Business Unit level.

D.

Brands can set their own physical address and SAP.

A pharmaceutical company is hosting a monthly event and will be sending an invitation to
new local contacts. The customer would like to automatically update a data extension to
determine who will be attending.
*The data extension will hold each contact’s response as well as the time stamp of the
click.
*The contact will receive an email two days after the click event.
*Both emails should be sent via Journey Builder.
What is the optimal solution to record the click activity prior to sending the second email?

A.

Use a landing page to record the click and trigger an email.

B.

Leverage the Decision Split and create a Custom Activity.

C.

Leverage the Engagement Split and the Update Contact Activity.

D.

Use a landing page to record the click in the data extension

A customer would like to send a quarterly re-engagement email to subscribers who have
not opened in the previous three months. The customer's plans are to:
* Use an existing Paste HTML email for the first send.
* Make only minor changes to the email creative for future sends.

* Use an existing Measure to build the subscriber audience for current and future sends.
* Deploy emails manually for now, but possibly automate in the future.
Which configuration is recommended for the re-engagement email send?

A.

Triggered Send

B.

Guided Send

C.

Automated Send

D.

User-Initiated Send

A customer has an eCommerce site and Imports data into three data extensions daily;
'Orders', 'Order_Details' and 'Products'
the data extension contains the following information:
* Orders: OrderId, CustomerId, OrderNumber, OrderDate, OrderTotal, GrandTotal
* Order_Details: ProductId, OrderId, Qty, UnitPrice, ExtendedPrice, Discount
* Products: ProductId, SKU, Name, Description, Cost, Price
What two actions should be taken in Data Designer?

A.

Create a one-to-one relationship between Orders and order_Details

B.

Create a one-to-one relationship between the contact record and Order_Details

C.

Create a one-to-one relationship between Order_Details and Products

D.

Create a one-to-many relationship between Orders and Order_Details

A customer wants to set up a real-time, API-driven way to be alerted when transactional
messages fail to send out of Marketing Cloud. They are currently in the process of hiring a
full-time developer but want an implementation in place for the developer to maintain.
What should the customer have in place to ensure this solution can be implemented?

A.

A Transactional Journey with the Not Sent Notification activity included

B.

A Datorama instance to ingest their data

C.

An external system to receive and confirm callback and subscriptions

D.

An Interaction Studio instance to ingest their data

If I want to introduce a new line of footwear. I am excluding anyone who does not have
shoe as an attribute listed in their preference center. I plan to send the emails daily. After a
short time, I notice many people updating their preferences, and less emails are going out.
What is the issue causing less emails to go out? Select one.

A.

High Watermark if journey builder

B.

Preference center is too strict

C.

Deliverability issues on account

D.

Email frequency too high

Northern Trail Outfitters (NTO) is running a campaign for a brand new type of footwear
inside Journey Builder. The entry event: Prevents contacts from entering the journey if
"shoes" is not selected in their preferences.
Is based on a data extension which has Email Address as Primary Key.
A few weeks after launching the campaign, NTO's data analyst noticed a reduced email
volume and that some contacts inside the data extension updated their preferences after
the launch of the campaign. Even with
the entry event being triggered every day, those contacts are not receiving the welcome
emails. What could be the reason?

A.

The preference center is too precise.

B.

Their account has deliverability issues

C.

The contact fell below the High Water Mark.

D.

The entry event is triggered too often.

Northern Trail Outfitters (NTO) wants to use Case data from Service Cloud as part of their
current email messaging campaign. They want to import cases that indicate the customer
wants someone to contact them after the case is closed. NTO tracks cases with a
checkbox field called "Contact Me".

A.

Create data extensions in Marketing Cloud and import the data from Service Cloud
using Journey Builder.

B.

Use Salesforce Data Extensions and Filter Activities in Automation Studio to import and
filter the data.

C.

Use Synchronized Data Extensions on the Case Object with a Boolean filter on the
Contact Me field.

D.

Create Reports in Salesforce filtered by Contact Me equal to True and import using the
Import word.