Data-Con-101 100%시험패스덤프문제시험덤프샘플문제다운

그리고 Fast2test Data-Con-101 시험 문제집의 전체 버전을 클라우드 저장소에서 다운로드할 수 있습니다: https://drive.google.com/open?id=1Ew1URWWjVF3nDNzszpyjty0Oe3USha4U

IT인증자격증은 국제적으로 승인받는 자격증이기에 많이 취득해두시면 취업이나 승진이나 이직이나 모두 편해집니다. 다른 사람이 없는 자격증을 내가 가지고 있다는것은 실력을 증명해주는 수단입니다. Salesforce인증 Data-Con-101시험은 널리 승인받는 자격증의 시험과목입니다. Salesforce인증 Data-Con-101덤프로Salesforce인증 Data-Con-101시험공부를 하시면 시험패스 난이도가 낮아지고 자격증 취득율이 높이 올라갑니다.자격증을 많이 취득하여 취업이나 승진의 문을 두드려 보시면 빈틈없이 닫힌 문도 활짝 열릴것입니다.

Salesforce Data-Con-101 Exam Overview:

Certification Vendor:Salesforce
Exam Name:Salesforce Certified Data Cloud Consultant
Exam Number:Data-Con-101
Exam Format:Multiple Choice, Multiple Select
Passing Score:68%
Related Certifications:Salesforce Platform App Builder
Salesforce Marketing Cloud Engagement
Salesforce Certified Administrator
Available Languages:English
Certificate Validity Period:Maintenance required annually (Trailhead maintenance program)
Exam Duration:105 minutes
Real Exam Qty:60-65
Exam Price:$200 USD
Recommended Training:Salesforce Partner Training Resources
Salesforce Trailhead - Data Cloud Learning Paths
Exam Registration:Salesforce Credentials Portal
Sample Questions:Salesforce Data-Con-101 Sample Questions
Exam Way:Online proctored exam or test center delivery
Pre Condition:No strict prerequisites; recommended to have Salesforce Administrator knowledge or equivalent experience.

>> Data-Con-101 100%시험패스 덤프문제 <<

Data-Con-101인증시험, Data-Con-101인기자격증 시험덤프공부

여러분이 우리Salesforce Data-Con-101문제와 답을 체험하는 동시에 우리Fast2test를 선택여부에 대하여 답이 나올 것입니다. 우리는 백프로 여러분들한테 편리함과 통과 율은 보장 드립니다. 여러분이 안전하게Salesforce Data-Con-101시험을 패스할 수 있는 곳은 바로 Fast2test입니다.

Salesforce Data-Con-101 시험요강:

주제소개
주제 1
  • Identity Resolution: This domain explores creating unified customer profiles through matching and reconciliation processes. It covers how rule sets determine when records link together, how conflicting data is resolved, and understanding the outcomes and use cases of unified identities.
주제 2
  • Data Ingestion and Modeling: This domain addresses bringing data into Data Cloud and structuring it properly through transformation, ingestion from various sources, and data mapping. It emphasizes best practices for modeling data to support identity resolution and validating ingested data using available tools.
주제 3
  • Act on Data: This domain focuses on leveraging Data Cloud data for downstream actions through activations and data actions. It covers working with attributes, managing timing dependencies, troubleshooting activation issues like errors and rejected counts, and understanding requirements for triggering automated processes.
주제 4
  • Data Cloud Setup and Administration: This domain focuses on configuring and managing Data Cloud environments through permissions, data streams, data bundles, and data spaces. It also covers administrative tools and techniques for diagnosing and exploring data using reports, dashboards, flows, APIs, and explorer tools.

최신 Salesforce Data Cloud Data-Con-101 무료샘플문제 (Q155-Q160):

질문 # 155
Cumulus Financial wants to be able to track the daily transaction volume of each of its customers in real time and send out a notification as soon as it detects volume outside a customer's normal range.
What should a consultant do to accommodate this request?

정답:C

설명:
A streaming insight is a type of insight that analyzes streaming data in real time and triggers actions based on predefined conditions. A data action is a type of action that executes a flow, a data action target, or a data action script when an insight is triggered. By using a streaming insight paired with a data action, a consultant can accommodate Cumulus Financial's request to track the daily transaction volume of each customer and send out a notification when the volume is outside the normal range. A calculated insight is a type of insight that performs calculations on data in a data space and stores the results in a data extension. A streaming data transform is a type of data transform that applies transformations to streaming data in real time and stores the results in a data extension. A flow is a type of automation that executes a series of actions when triggered by an event, a schedule, or another flow. None of these options can achieve the same functionality as a streaming insight paired with a data action. References: Use Insights in Data Cloud Unit, Streaming Insights and Data Actions Use Cases, Streaming Insights and Data Actions Limits and Behaviors


질문 # 156
A customer has outlined requirements to trigger a journey for an abandoned browse behavior. Based on the requirements, the consultant determines they will use streaming insights to trigger a data action to Journey Builder every hour.
How should the consultant configure the solution to ensure the data action is triggered at the cadence required?

정답:A

설명:
Explanation:


질문 # 157
Cumulus Financial (CF) wants to target loyal and engaged customers. When a platinum tier customer visits their Investment pages more than three times in a 24-hour period, CF wants to Immediately Send an email that offers a private consultation.
What should a consultant recommend for this business requirement?

정답:D

설명:
To meet the requirement of targeting loyal and engaged customers (platinum-tier customers visiting investment pages more than three times in 24 hours) and sending an immediate email offering a private consultation, the best solution is to use a streaming insight with a data action into a journey in Marketing Cloud Engagement . Here's why:
Understanding the Requirement
The company wants to identify platinum-tier customers who visit their Investment pages more than three times within a 24-hour period.
Once identified, these customers should immediately receive an email offering a private consultation.
This requires real-time monitoring of customer behavior and triggering an automated response.
Why Streaming Insight with a Data Action?
Streaming Insights for Real-Time Monitoring :
A streaming insight in Salesforce Data Cloud monitors customer interactions in real time.
It can detect when a platinum-tier customer visits the Investment pages more than three times within 24 hours.
Data Actions for Immediate Response :
A data action allows you to trigger specific actions based on the insights generated.
In this case, the data action would send the customer's information to a journey in Marketing Cloud Engagement to initiate the email campaign.
Journey in Marketing Cloud Engagement :
Marketing Cloud Engagement journeys are designed to automate personalized marketing activities, such as sending transactional emails.
By integrating the streaming insight with a journey, the system can immediately send the email offering a private consultation.
Steps to Implement This Solution
Step 1: Create a Streaming Insight
Navigate to Data Cloud > Insights > Streaming Insights .
Define the criteria for identifying platinum-tier customers who visit the Investment pages more than three times in 24 hours.
Step 2: Configure a Data Action
Set up a data action that sends the identified customer's information to Marketing Cloud Engagement.
Ensure the data action includes relevant details (e.g., customer ID, email address).
Step 3: Build a Journey in Marketing Cloud Engagement
In Marketing Cloud Engagement, create a journey that listens for incoming data from the data action.
Configure the journey to send a personalized email offering a private consultation.
Step 4: Test and Deploy
Test the entire workflow to ensure that the streaming insight triggers the data action and that the email is sent immediately.
Why Not Other Options?
A). Calculated insight with a data action to a Marketing Cloud Engagement transactional email :Calculated insights are not designed for real-time monitoring. They are better suited for batch processing or periodic calculations, making them unsuitable for this use case.
B). Rapid segment to a data action journey in Marketing Cloud Engagement :While rapid segments are useful for quickly grouping customers, they do not provide the real-time detection required for this scenario.
C). Standard segment with activation into Marketing Cloud Engagement :Standard segments are static or periodically updated and cannot respond to real-time customer behavior.
Conclusion
By using a streaming insight with a data action into a journey in Marketing Cloud Engagement , Cumulus Financial can achieve real-time monitoring and immediate engagement with its loyal customers.


질문 # 158
A customer has multiple team members who create segment audiences that work in different time zones. One team member works at the home office in the Pacific time zone, that matches the org Time Zone setting.
Another team member works remotely in the Eastern time zone.
Which user will see their home time zone in the segment and activation schedule areas?

정답:D

설명:
The correct answer is D, both team members; Data Cloud adjusts the segment and activation schedules to the time zone of the logged-in user. Data Cloud uses the time zone settings of the logged-in user to display the segment and activation schedules. This means that each user will see the schedules in their own home time zone, regardless of the org time zone setting or the location of other team members. This feature helps users to avoid confusion and errors when scheduling segments and activations across different time zones. The other options are incorrect because they do not reflect how Data Cloud handles time zones. The team member in the Pacific time zone will not see the same time zone as the org time zone setting, unless their personal time zone setting matches the org time zone setting. The team member in the Eastern time zone will not see the schedules in the org time zone setting, unless their personal time zone setting matches the org time zone setting. Data Cloud does not show all schedules in GMT, but rather in the user's local time zone. References:
Data Cloud Time Zones
Change default time zones for Users and the organization
Change your time zone settings in Salesforce, Google & Outlook
DateTime field and Time Zone Settings in Salesforce


질문 # 159
Which method should a consultant use when performing aggregations in windows of 15 minutes on data collected via the Interaction SDK or Mobile SDK?

정답:C

설명:
Streaming insight is a method that allows you to perform aggregations in windows of 15 minutes on data collected via the Interaction SDK or Mobile SDK. Streaming insight is a feature that enables you to create real-time metrics and insights based on streaming data from various sources, such as web, mobile, or IoT devices. Streaming insight allows you to define aggregation rules, such as count, sum, average, min, max, or percentile, and apply them to streaming data in time windows of 15 minutes. For example, you can use streaming insight to calculate the number of visitors, the average session duration, or the conversion rate for your website or app in 15-minute intervals. Streaming insight also allows you to visualize and explore the aggregated data in dashboards, charts, or tables. References: Streaming Insight, Create Streaming Insights


질문 # 160
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Data-Con-101인증시험: https://kr.fast2test.com/Data-Con-101-premium-file.html

그 외, Fast2test Data-Con-101 시험 문제집 일부가 지금은 무료입니다: https://drive.google.com/open?id=1Ew1URWWjVF3nDNzszpyjty0Oe3USha4U