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社会と経済の発展につれて、多くの人はIT技術を勉強します。なぜならば、IT職員にとって、SalesforceのData-Con-101資格証明書があるのは肝心な指標であると言えます。自分の能力を証明するために、Data-Con-101試験に合格するのは不可欠なことです。弊社のData-Con-101真題を入手して、試験に合格する可能性が大きくなります。
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Identity Resolution | 14% | - Matching and rule sets - Reconcile data and rule sets |
| Topic 2: Act on Data | 18% | - Use attributes and related attributes - Use data actions and identify their requirements and intended use cases - Identify and analyze timing dependencies affecting the Data Cloud lifecycle - Troubleshoot common problems with activations - Define activations and their basic use cases |
| Topic 3: Segmentation and Insights | 18% | - Identify scenarios for analyzing segment membership - Identify and differentiate between calculated and streaming insights - Define basic concepts of segmentation and use cases - Configure, refine, and maintain segments within Data Cloud |
| Topic 4: Data Cloud Setup and Administration | 12% | - Describe and configure the available data stream types and data bundles - Manage and administer Data Cloud using reports, dashboards, flows, packaging, and data kits - Identify use cases for data spaces and create data spaces based on requirements - Diagnose and explore data using Data Explorer, Profile Explorer, and APIs - Apply Data Cloud permissions, permission sets, and org-wide settings |
| Topic 5: Solution Overview | 18% | - Identify typical use cases for Data Cloud - Articulate how Data Cloud works and its dependencies - Describe and apply the principles of data ethics - Describe Data Cloud's function, key terminology, and business value |
| Topic 6: Data Ingestion and Modeling | 20% | - Inspect and validate ingested and modeled data - Data ingestion from different sources into Data Cloud - Define, map, and model data for identity resolution - Transformation capabilities (streaming and batch) |
Tech4ExamのData-Con-101問題集は多くの受験生に検証されたものですから、高い成功率を保証できます。もしこの問題集を利用してからやはり試験に不合格になってしまえば、Tech4Examは全額で返金することができます。あるいは、無料で試験Data-Con-101問題集を更新してあげるのを選択することもできます。こんな保障がありますから、心配する必要は全然ないですよ。
質問 # 159
What does it mean to build a trust-based, first-party data asset?
正解：C
解説：
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. References: 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
質問 # 160
A consultant wants to confirm the Identity resolution they Just set up. Which two features can the consultant use to validate the data on a unified profile?
Choose 2 answers
正解：B、C
解説：
To validate the data on a unified profile after setting up identity resolution, the consultant can use Data Explorer and the Query API . Here's why:
Understanding Identity Resolution Validation
Identity resolution combines data from multiple sources into a unified profile.
Validating the unified profile ensures that the resolution process is working correctly and that the data is accurate.
Why Data Explorer and Query API?
Data Explorer :
Data Explorer is a built-in tool in Salesforce Data Cloud that allows users to view and analyze unified profiles.
It provides a detailed view of individual profiles, including resolved identities and associated attributes.
Query API :
The Query API enables programmatic access to unified profiles and related data.
Consultants can use the API to query specific profiles and validate the results of identity resolution programmatically.
Other Options Are Less Suitable :
A). Identity Resolution : This refers to the process itself, not a tool for validation.
B). Data Actions : Data actions are used to trigger workflows or integrations, not for validating unified profiles.
Steps to Validate Unified Profiles
Using Data Explorer :
Navigate to Data Cloud > Data Explorer .
Search for a specific profile and review its resolved identities and attributes.
Verify that the data aligns with expectations based on the identity resolution rules.
Using Query API :
Use the Query API to retrieve unified profiles programmatically.
Compare the results with expected outcomes to confirm accuracy.
Conclusion
The consultant should use Data Explorer and the Query API to validate the data on unified profiles, ensuring that identity resolution is functioning as intended.
質問 # 161
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?
正解：A
解説：
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
質問 # 162
A customer is trying to activate data from Data Cloud to an Amazon S3 Cloud File Storage Bucket.
Which authentication type should the consultant recommend to connect to the S3 bucket from Data Cloud?
正解：B
解説：
To use the Amazon S3 Storage Connector in Data Cloud, the consultant needs to provide the S3 bucket name, region, and access key and secret key for authentication. The access key and secret key are generated by AWS and can be managed in the IAM console. The other options are not supported by the S3 Storage Connector or by Data Cloud. References: Amazon S3 Storage Connector - Salesforce, How to Use the Amazon S3 Storage Connector in Data Cloud | Salesforce Developers Blog Learn more
1blob:https://www.bing.com/fed40cd6-30db-497b-a587-44e59b9e1f0b
help.salesforce.com2blob:https://www.bing.com/ec651c64-71a9-4e79-94f1-3631d6942839 developer.salesforce.com
質問 # 163
Which consideration related to the way Data Cloud ingests CRM data is true?
正解：A
解説：
The correct answer is D. The CRM Connector allows standard fields to stream into Data Cloud in real time.
This means that any changes to the standard fields in the CRM data source are reflected in Data Cloud almost instantly, without waiting for the next scheduled synchronization. This feature enables Data Cloud to have the most up-to-date and accurate CRM data for segmentation and activation1.
The other options are incorrect for the following reasons:
A). CRM data can be manually refreshed at any time by clicking the Refresh button on the data stream detail page2. This option is false.
B). The CRM Connector's synchronization times can be customized to up to 60-minute intervals, not 15- minute intervals3. This option is false.
C). Formula fields are not refreshed at regular sync intervals, but only at the next full refresh4. A full refresh is a complete data ingestion process that occurs once every 24 hours or when manually triggered. This option is false.
1: Connect and Ingest Data in Data Cloud article on Salesforce Help
2: Data Sources in Data Cloud unit on Trailhead
3: Data Cloud for Admins module on Trailhead
4: [Formula Fields in Data Cloud] unit on Trailhead
[Data Streams in Data Cloud] unit on Trailhead
質問 # 164
......
Data-Con-101学習ガイドを選択することは、学習コンテンツの充実だけでなく、独自の発見スペースを改善する機会でもあります。当社のData-Con-101学習ガイド資料は、あなたの個人的な開発に大きな影響を与える可能性があります。仕事を探している過程で、競合他社よりも有利なData-Con-101証明書を保持しているため、君は。 Data-Con-101学習ガイド資料を使用した後、ユーザーは専攻に専念するためにより多くの時間とエネルギーを費やすことができ、専門分野でますます目立つようになります。
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