Which of the following attributes can be used for Smart Insight filtering? Note: There are 3 correct answers to this question.
Smart Insight filtering in SAP Emarsys includes:
Option A: Correct. Attribution channel (e.g., email, push) is a filter for purchase sources.
Option C: Correct. Email campaign name allows filtering by specific campaigns.
Option D: Correct. Price amount enables filtering by order value ranges.
Option B: Incorrect. Expired Coupon is not a standard Smart Insight filter.
Option E: Incorrect. External ID filters contacts, not Smart Insight purchase data directly.
The SAP Emarsys Help Portal under 'Smart Insight' lists these filters.
You are unable to select a Digital Ads audience in the Digital Ads - Add to Audience node in an Automation program. Which of the following could be the reason for the error?
In the Automation Center's Digital Ads node:
Option A: Correct. Audiences must be created as 'Automation Audiences' in the Digital Ads - Audiences tab to be selectable in the node.
Option B: Incorrect. Opt-in filtering is optional and not a prerequisite for audience selection.
Option C: Incorrect. Multiple nodes with different audiences are allowed in a program.
Option D: Incorrect. A Remove node isn't required to add an audience.
The SAP Emarsys Help Portal under 'Digital Ads' specifies audience creation requirements.
You are a consultant on an SAP S/4HANA Cloud greenfield project. Which of the following aspects should you focus on to achieve and maintain clean core data quality? Note: There are 2 correct answers to this question.
This question relates to SAP S/4HANA's clean core concept, interpreted here:
Option B (Timeliness): Correct. Ensuring data is up-to-date is critical for clean core quality in real-time systems like S/4HANA.
Option C (Accuracy): Correct. Accurate data is foundational to maintaining a clean core, avoiding errors from customizations.
Option A: Incorrect. Stability is a system attribute, not a direct data quality focus.
Option D: Incorrect. Efficiency is operational, not a primary data quality aspect.
The SAP Help Portal under 'Clean Core' emphasizes timeliness and accuracy for data quality.
You want to build a comma-separated values (CSV) file and import it into SAP Emarsys. Which of the following rules apply? Note: There are 2 correct answers to this question.
When preparing a comma-separated values (CSV) file for import into SAP Emarsys, it's essential to adhere to specific formatting guidelines to ensure data integrity and successful import processes.
B . Always use a period as the decimal separator.
For numerical data, especially floating-point numbers, SAP Emarsys mandates the use of a period (.) as the decimal separator, regardless of regional or locale-specific conventions that might use a comma (,). This standardization ensures consistent data interpretation across different systems and regions.
D . Imported files must have a newline control character in the first 265 KB.
To prevent the accidental upload of binary files and to ensure proper file processing, SAP Emarsys requires that imported CSV files contain a newline control character within the first 265 kilobytes (KB) of the file. This requirement helps the system recognize and validate the file format before processing the entire content. help.emarsys.com
Incorrect Options:
A . UTF-8 4 byte characters are allowed.
This statement is incorrect. SAP Emarsys supports UTF-8 encoding for CSV files; however, it does not allow UTF-8 4-byte characters, such as emojis. Including such characters can prevent the successful import of files. help.emarsys.com+5help.emarsys.com+5help.emarsys.com+5
C . Values are not case sensitive.
This statement is also incorrect. In SAP Emarsys, values within CSV files are case sensitive. For example, the email addresses 'example@address.com' and 'EXample@address.com' would be treated as distinct entries. help.emarsys.com
Adhering to these guidelines is crucial for the accurate and efficient import of data into SAP Emarsys, ensuring that your marketing campaigns and data analyses are based on reliable information.
Which database CANNOT be used to power personalization in SAP Emarsys?
SAP Emarsys supports specific databases for personalization via Relational Data:
Option A (MongoDB): Correct. MongoDB, a NoSQL database, is not supported for Emarsys personalization, which relies on SQL-based systems.
Option B: Incorrect. Microsoft SQL Server is supported.
Option C: Incorrect. Amazon Redshift is supported.
Option D: Incorrect. MySQL is supported.
The SAP Emarsys Help Portal under 'Relational Data' lists supported SQL databases, excluding MongoDB.
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