QUESTION: 33

Cumulus Financial is currently using Data Cloud and ingesting transactional data from its backend system via an S3 Connector in upsert mode. During the initial setup six months ago, the company created a formula field in Data Cloud to create a custom classification. It now needs to update this formula to account for more classifications.
What should the consultant keep in mind with regard to formula field updates when using the S3 Connector?

Data Cloud will initiate a full refresh of data from $3 and will update the formula on all records.
Data Cloud will only update the formula on a go-forward basis for new records.
Data Cloud does not support formula field updates for data streams of type upsert.
Data Cloud will update the formula for all records at the next incremental upsert refresh.

Answer(s): A

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QUESTION: 34

Luxury Retailers created a segment targeting high value customers that it activates through Marketing Cloud for email communication. The company notices that the activated count is smaller than the segment count.
What is a reason for this?

Marketing Cloud activations apply a frequency cap and limit the number of records that can be sent in an activation.
Data Cloud enforces the presence of Contact Point for Marketing Cloud activations. If the individual does not have a related Contact Point, it will not be activated.
Marketing Cloud activations automatically suppress individuals who are unengaged and have not opened or clicked on an email in the last six months.
Marketing Cloud activations only activate those individuals that already exist in Marketing Cloud.
They do not allow activation of new records.

Answer(s): B

Explanation:

Data Cloud requires a Contact Point for Marketing Cloud activations, which is a record that links an individual to an email address. This ensures that the individual has given consent to receive email communications and that the email address is valid. If the individual does not have a related Contact Point, they will not be activated in Marketing Cloud. This may result in a lower activated count than the segment count.

Reference:

Data Cloud Activation, Contact Point for Marketing Cloud

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QUESTION: 35

Northern Trail Outfitters wants to implement Data Cloud and has several use cases in mind.
Which two use cases are considered a good fit for Data Cloud?

Choose 2 answers

To ingest and unify data from various sources to reconcile customer identity
To create and orchestrate cross-channel marketing messages
To use harmonized data to more accurately understand the customer and business impact
To eliminate the need for separate business intelligence and IT data management tools

Answer(s): A,C

Explanation:

Data Cloud is a data platform that can help customers connect, prepare, harmonize, unify, query, analyze, and act on their data across various Salesforce and external sources. Some of the use cases that are considered a good fit for Data Cloud are:
To ingest and unify data from various sources to reconcile customer identity. Data Cloud can help customers bring all their data, whether streaming or batch, into Salesforce and map it to a common data model. Data Cloud can also help customers resolve identities across different channels and sources and create unified profiles of their customers. To use harmonized data to more accurately understand the customer and business impact. Data Cloud can help customers transform and cleanse their data before using it, and enrich it with calculated insights and related attributes. Data Cloud can also help customers create segments and audiences based on their data and activate them in any channel. Data Cloud can also help customers use AI to predict customer behavior and outcomes.
The other two options are not use cases that are considered a good fit for Data Cloud. Data Cloud does not provide features to create and orchestrate cross-channel marketing messages, as this is typically handled by other Salesforce solutions such as Marketing Cloud. Data Cloud also does not eliminate the need for separate business intelligence and IT data management tools, as it is designed to work with them and complement their capabilities.

Reference:

Learn How Data Cloud Works
About Salesforce Data Cloud
Discover Use Cases for the Platform
Understand Common Data Analysis Use Cases

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QUESTION: 36

What does it mean to build a trust-based, first-party data asset?

To provide transparency and security for data gathered from individuals who provide consent for its use and receive value in exchange
To provide trusted, first-party data in the Data Cloud Marketplace that follows all compliance regulations
To ensure opt-in consents are collected for all email marketing as required by law
To obtain competitive data from reliable sources through interviews, surveys, and polls

Answer(s): A

Explanation:

Building a trust-based, first-party data asset means collecting, managing, and activating data from your own customers and prospects in a way that respects their privacy and preferences. It also means providing them with clear and honest information about how you use their data, what benefits they can expect from sharing their data, and how they can control their data. By doing so, you can create a mutually beneficial relationship with your customers, where they trust you to use their data responsibly and ethically, and you can deliver more relevant and personalized experiences to them. A trust-based, first-party data asset can help you improve customer loyalty, retention, and growth, as well as comply with data protection regulations and standards.

Reference:

Use first-party data for a powerful digital experience, Why first-party data is the key to data privacy, Build a first-party data strategy

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QUESTION: 34

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QUESTION: 35

Explanation:

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QUESTION: 36

Explanation:

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