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SAP Certified Associate - Implementation Consultant - SAP Emarsys Sample Questions (Q34-Q39):
NEW QUESTION # 34
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.
- A. Always use a period as the decimal separator.
- B. UTF-8 4 byte characters are allowed.
- C. Imported files must have a newline control character in the first 265 KB.
- D. Values are not case sensitive.
Answer: A,C
Explanation:
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.
NEW QUESTION # 35
You are tasked with setting up a new product feed for SAP Emarsys. What rules should you follow to ensure the product feed is accepted in Predict Data Sources? Note: There are 2 correct answers to this question.
- A. Include the field names in the first row.
- B. Use ASCII encoding.
- C. Use a pipe to separate fields.
- D. Leave fields empty when they do not have a value.
Answer: A,D
Explanation:
For a product feed in Predict Data Sources:
* Option A:Correct. Empty fields should be left blank (not null or placeholder) to avoid processing errors.
* Option C:Correct. The first row must contain field names (e.g., item_id, title) for proper mapping.
* Option B:Incorrect. UTF-8 is the recommended encoding, not ASCII, to support international characters.
* Option D:Incorrect. Commas are the default separator for CSV feeds; pipes are not standard unless specified.The SAP Emarsys Help Portal under "Predict Data Sources" outlines these rules.References:
SAP Emarsys Help Portal - "Predict Data Sources" (https://help.emarsys.com/).
NEW QUESTION # 36
Which of the following attributes can be used for Smart Insight filtering? Note: There are 3 correct answers to this question.
- A. Price amount - You can filter orders based on a price range for items purchased in those orders.
- B. Email campaign name - You can filter contacts based on the campaign's name in Emarsys.
- C. External ID - you can filter contacts by this ID if you use an external ID to identify your customers, products, or stores.
- D. Attribution channel - You can filter by the channel responsible for the purchase (currently email, In- app, and Push campaigns).
- E. Expired Coupon - You can filter for users whose coupon has expired.
Answer: A,B,D
Explanation:
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.References:SAP Emarsys Help Portal -
"Smart Insight" (https://help.emarsys.com/).
NEW QUESTION # 37
What are some of the ways bounces can be caused? Note: There are 2 correct answers to this question.
- A. A soft bounce can result from a temporary server breakdown.
- B. A hard bounce can result from an email rejected by the recipient's server firewall.
- C. A soft bounce can result from a recipient putting the sender on their personal spam list.
- D. A hard bounce can result from an email address that does not exist.
Answer: A,D
Explanation:
Email bounces in SAP Emarsys are categorized as soft or hard:
* Option B:Correct. A soft bounce occurs due to temporary issues, such as a server breakdown or full inbox.
* Option D:Correct. A hard bounce occurs when an email address doesn't exist, indicating a permanent delivery failure.
* Option A:Incorrect. Marking as spam typically results in a complaint, not a soft bounce.
* Option C:Incorrect. Firewall rejection might cause a soft bounce, not a hard one, depending on the reason.The SAP Emarsys Help Portal under "Email Delivery" explains bounce types and causes.
References:SAP Emarsys Help Portal - "Email Delivery" (https://help.emarsys.com/).
NEW QUESTION # 38
You want to connect your own hosted databases to SAP Emarsys Customer Engagement using Relational Data. Which of the following connection types are available? Note: There are 3 correct answers to this question.
- A. MySQL
- B. Snowflake
- C. Google BigQuery
- D. IBM DB2
- E. Oracle database
Answer: A,B,C
Explanation:
Relational Data in SAP Emarsys supports:
* Option A (MySQL):Correct. A widely supported SQL database.
* Option C (Snowflake):Correct. A cloud-based data warehouse supported for integration.
* Option E (Google BigQuery):Correct. Another cloud data platform compatible with Relational Data.
* Option B:Incorrect. Oracle is not listed as a supported connection.
* Option D:Incorrect. IBM DB2 is not supported natively.The SAP Emarsys Help Portal under
"Relational Data" confirms MySQL, Snowflake, and BigQuery.References:SAP Emarsys Help Portal -
"Relational Data" (https://help.emarsys.com/).
NEW QUESTION # 39
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