Data-Con-101덤프Salesforce인증시험

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Salesforce Data-Con-101 Exam Overview:

>> Data-Con-101최신버전 인기덤프 <<

Salesforce Data-Con-101시험패스 인증덤프공부 - Data-Con-101시험대비 인증덤프자료

근 몇년간IT산업이 전례없이 신속히 발전하여 IT업계에 종사하는 분들이 여느때보다 많습니다. 경쟁이 이와같이 치열한 환경속에서 누구도 대체할수 없는 자기만의 자리를 찾으려면 IT인증자격증취득은 무조건 해야 하는것이 아닌가 싶습니다. Salesforce인증 Data-Con-101시험은 IT인증시험중 가장 인기있는 시험입니다. Pass4Test에서는 여러분이Salesforce인증 Data-Con-101시험을 한방에 패스하도록 실제시험문제에 대비한Salesforce인증 Data-Con-101덤프를 발췌하여 저렴한 가격에 제공해드립니다.시험패스 못할시 덤프비용은 환불처리 해드리기에 고객님께 아무런 페를 끼치지 않을것입니다.

Salesforce Data-Con-101 시험요강:

최신 Salesforce Data Cloud Data-Con-101 무료샘플문제 (Q89-Q94):

질문 # 89
The leadership team at Cumulus Financial has determined that customers who deposited more than $250,000 in the last five years and are not using advisory services will be the central focus for all new campaigns in the next year.
Which features support this use case?

• A. Calculated insight and data action
• B. Streaming insight and segment
• C. Streaming insight and data action
• D. Calculated insight and segment

정답：D

설명：
Understanding the Use Case:
The leadership team wants to focus on customers who have deposited more than $250,000 in the last five years and are not using advisory services.
Reference: Salesforce Data Cloud Use Case Documentation
Features Involved:
Calculated Insight: This feature helps derive metrics and values based on existing data. In this case, it can calculate total deposits over the last five years.
Segment: Segmentation allows targeting specific groups of customers based on defined criteria, such as total deposits and usage of advisory services.
Reference: Salesforce Calculated Insights and Segmentation Guide
Steps to Implement:
Create a Calculated Insight:
Navigate to Visual Insights Builder in Salesforce Data Cloud.
Create a new calculated insight to sum deposits for each customer over the last five years.
Create a Segment:
Use the Segment Canvas to create a new segment.
Apply filters to include customers with deposits over $250,000 and exclude those using advisory services.
Reference: Salesforce Calculated Insights Tutorial and Segment Creation Guide Practical Application:
Example: Identify high-value customers who are not leveraging additional services and target them with personalized marketing campaigns to promote advisory services.
Reference: Salesforce High-Value Customer Segmentation Case Study

질문 # 90
A consultant at Northern Trail Outfitters is attempting to ingest a field from the Contact object in Salesforce CRM that contains both yyyy-mm-dd and yyyy-mm-dd hh:mm:ss values. The target field is set to Date datatype.
Which statement is true in this situation?

• A. The target field will only hold the date part and ignore the time part.
• B. The target field will be able to hold both types of values.
• C. The target field will only hold the time part and ignore the date part.
• D. The target field will throw an error and store null values.

정답：A

설명：
Field Data Types: Salesforce CRM's Contact object fields can store data in various formats. When ingesting data into Salesforce Data Cloud, the target field's data type determines how the data is processed and stored.
Date Data Type: If the target field in Data Cloud is set to Date data type, it is designed to store date values without time information.
Mixed Format Values: When ingesting a field containing both date (yyyy-mm-dd) and datetime (yyyy-mm- dd hh:mm:ss) values into a Date data type field:
The Date field will extract and store only the date part (yyyy-mm-dd), ignoring the time part (hh:mm:ss).
Result:
Date Values: yyyy-mm-dd values are stored as-is.
Datetime Values: yyyy-mm-dd hh:mm:ss values are truncated to yyyy-mm-dd, and the time component is ignored.
References:
Salesforce Data Cloud Field Mapping
Salesforce Data Types

질문 # 91
A company wants to test its marketing campaigns with different target populations.
What should the consultant adjust in the Segment Canvas interface to get different populations?

• A. Direct attributes, related attributes, and population filters
• B. Population filters and direct attributes
• C. Segmentation filters, direct attributions, and data sources
• D. Direct attributes and related attributes

정답：A

설명：
Segmentation in Salesforce Data Cloud:
The Segment Canvas interface is used to define and adjust target populations for marketing campaigns.
Reference: Salesforce Segment Canvas Documentation
Elements for Adjusting Target Populations:
Direct Attributes: These are specific attributes directly related to the target entity (e.g., customer age, location).
Related Attributes: These are attributes related to other entities connected to the target entity (e.g., purchase history).
Population Filters: Filters applied to define and narrow down the segment population (e.g., active customers).
Reference: Salesforce Segmentation Guide
Steps to Adjust Populations in Segment Canvas:
Direct Attributes: Select attributes that directly describe the target population.
Related Attributes: Incorporate attributes from related entities to enrich the segment criteria.
Population Filters: Apply filters to refine and target specific subsets of the population.
Example: To create a segment of "Active Customers Aged 25-35," use age as a direct attribute, purchase activity as a related attribute, and apply population filters for activity status and age range.
Reference: Salesforce Segment Canvas Tutorial
Practical Application:
Navigate to the Segment Canvas.
Adjust direct attributes and related attributes based on campaign goals.
Apply population filters to fine-tune the target audience.
Reference: Salesforce Marketing Cloud Segmentation Best Practices

질문 # 92
Which data stream category should be assigned to use the data for time-based operations in segmentation and calculated insights?

• A. Engagement
• B. Sales Order
• C. Transaction
• D. Individual

정답：C

설명：
Data streams are the sources of data that are ingested into Data Cloud and mapped to the data model. Data streams have different categories that determine how the data is processed and used in Data Cloud.
Transaction data streams are used for time-based operations in segmentation and calculated insights, such as filtering by date range, aggregating by time period, or calculating time-to-event metrics. Transaction data streams are typically used for event data, such as purchases, clicks, or visits, that have a timestamp and a value associated with them. References: Data Streams, Data Stream Categories

질문 # 93
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

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

정답：A,D

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

질문 # 94
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