SalesforceのData-Con-101認定試験はIT職員が欠くことができない認証です。IT職員のキャリアと関連しますから。 SalesforceのData-Con-101試験トレーニング資料は受験生の皆さんが必要とした勉強資料です。It-Passportsのトレーニング資料は受験生が一番ほしい唯一なトレーニング資料です。It-PassportsのSalesforceのData-Con-101試験トレーニング資料を手に入れたら、試験に合格することができるようになります。
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Solution Overview | 18% | - Describe Data Cloud's function, key terminology, and business value - Articulate how Data Cloud works and its dependencies - Describe and apply the principles of data ethics - Identify typical use cases for Data Cloud |
| Topic 2: Data Ingestion and Modeling | 20% | - Define, map, and model data for identity resolution - Inspect and validate ingested and modeled data - Transformation capabilities (streaming and batch) - Data ingestion from different sources into Data Cloud |
| Topic 3: 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 - Apply Data Cloud permissions, permission sets, and org-wide settings - Identify use cases for data spaces and create data spaces based on requirements - Diagnose and explore data using Data Explorer, Profile Explorer, and APIs |
| Topic 4: Segmentation and Insights | 18% | - Identify scenarios for analyzing segment membership - Identify and differentiate between calculated and streaming insights - Configure, refine, and maintain segments within Data Cloud - Define basic concepts of segmentation and use cases |
| Topic 5: Act on Data | 18% | - Define activations and their basic use cases - Troubleshoot common problems with activations - Use data actions and identify their requirements and intended use cases - Identify and analyze timing dependencies affecting the Data Cloud lifecycle - Use attributes and related attributes |
| Topic 6: Identity Resolution | 14% | - Reconcile data and rule sets - Matching and rule sets |
近年、IT技術の急速な発展に伴って、IT技術を勉強し始める人がますます多くなっています。そこで、IT業界で働く人も多くなっています。このように、IT業界の競争が一層激しくなります。同様にIT業界で働いていて、IT夢を持っているあなたは、きっと他の人にキャッチアップされ、追い抜かれることを望まないでしょう。それでは、ずっと自分自身のスキルをアップグレードすることが必要になり、他の人に自分の強さを証明する必要があります。では、どうやって自分の能力を証明するのですか。多くの人々はIT認定試験を受験して認証資格を取ることを通して彼らの強さを証明します。あなたもIT認証資格を取りたいですか。まずSalesforceのData-Con-101認定試験に合格しましょう。これはSalesforceの最も重要な試験の一つで、業界全体に認証された資格です。
質問 # 130
A consultant is building a segment to announce a new product launch for customers that have previously purchased black pants.
How should the consultant place attributes for product color and product type from the Order Product object to meet this criteria?
正解：C
解説：
To create a segment based on the product color and product type from the Order Product object, the consultant should place the attributes for product color and product type in a single container. This way, the segment will include only the customers who have purchased black pants, and not those who have purchased black shirts or blue pants. A container is a grouping of attributes that defines a segment of individuals based on a logical AND operation. Placing the attributes in separate containers would result in a segment that includes customers who have purchased any black product or any pants product, which is not the desired criteria. Placing an attribute for the "black" calculated insight would not work, because calculated insights are based on aggregated data and not individual-level data. Placing the attributes as direct attributes would not work, because direct attributes are used to filter individuals based on their profile data, not their order data. References:
Create a Segment in Data Cloud
Learn About Segmentation Tools
Salesforce Launches: Data Cloud Consultant Certification
質問 # 131
Cloud Kicks wants to be able to build a segment of customers who have visited its website within the previous 7 days.
Which filter operator on the Engagement Date field fits this use case?
正解：B
解説：
The filter operator Last Number of Days allows you to filter on date fields using a relative date range that specifies the number of days before today. For example, you can use this operator to filter on customers who have visited your website in the last 7 days, or the last 30 days, or any number of days you want. This operator is useful for creating dynamic segments that update automatically based on the current date12. References:
Relative Date Filter Reference
Create Filtered Segments
質問 # 132
A customer wants to use the transactional data from their data warehouse in Data Cloud.
They are only able to export the data via an SFTP site.
How should the file be brought into Data Cloud?
正解：D
解説：
The SFTP Connector is a data source connector that allows Data Cloud to ingest data from an SFTP server.
The customer can use the SFTP Connector to create a data stream from their exported file and bring it into Data Cloud as a data lake object. The other options are not the best ways to bring the file into Data Cloud because:
B). The Cloud Storage Connector is a data source connector that allows Data Cloud to ingest data from cloud storage services such as Amazon S3, Azure Storage, or Google Cloud Storage. The customer does not have their data in any of these services, but only on an SFTP site.
C). The Data Import Wizard is a tool that allows users to import data for many standard Salesforce objects, such as accounts, contacts, leads, solutions, and campaign members. It is not designed to import data from an SFTP site or for custom objects in Data Cloud.
D). The Dataloader is an application that allows users to insert, update, delete, or export Salesforce records. It is not designed to ingest data from an SFTP site or into Data Cloud. References: SFTP Connector - Salesforce, Create Data Streams with the SFTP Connector in Data Cloud - Salesforce, Data Import Wizard - Salesforce, Salesforce Data Loader
質問 # 133
A financial services firm specializing in wealth management contacts a Data Cloud consultant with an identity resolution request. The company wants to enhance its strategy to better manage individual client profiles within family portfolios.
Family members often share addresses and sometimes phone numbers but have distinct investment preferences and financial goals. The firm aims to avoid blending individual family profiles into a single entity to maintain personalized service and accurate financial advice.
Which identity resolution strategy should the consultant put in place?
正解：C
解説：
To manage individual client profiles within family portfolios while avoiding blending profiles, the consultant should recommend a more restrictive design approach for identity resolution. Here's why:
Understanding the Requirement
The financial services firm wants to maintain distinct profiles for individual family members despite shared contact points (e.g., address, phone number).
The goal is to avoid blending profiles to ensure personalized service and accurate financial advice.
Why a Restrictive Design Approach?
Avoiding Over-Matching :
A restrictive design approach ensures that match rules are narrowly defined to prevent over-matching (e.g., merging profiles based solely on shared addresses or phone numbers).
This preserves the uniqueness of individual profiles while still allowing for some shared attributes.
Custom Match Rules :
The consultant can configure custom match rules that prioritize unique identifiers (e.g., email, social security number) over shared contact points.
This ensures that family members with shared addresses or phone numbers remain distinct.
Other Options Are Less Suitable :
A). Configure a single match rule with a single connected contact point based on address : This would likely result in over-matching and blending profiles, which is undesirable.
B). Use multiple contact points without individual attributes in the match rules : This approach lacks the precision needed to maintain distinct profiles.
D). Configure a single match rule based on a custom identifier : While custom identifiers are useful, relying on a single rule may not account for all scenarios and could lead to over-matching.
Steps to Implement the Solution
Step 1: Analyze Shared Attributes
Identify shared attributes (e.g., address, phone number) and unique attributes (e.g., email, social security number).
Step 2: Define Restrictive Match Rules
Configure match rules that prioritize unique attributes and minimize reliance on shared contact points.
Step 3: Test Identity Resolution
Test the match rules to ensure that individual profiles are preserved while still allowing for some shared attributes.
Step 4: Monitor and Refine
Continuously monitor the results and refine the match rules as needed to achieve the desired outcome.
Conclusion
A more restrictive design approach ensures that match rules perform as desired, preserving the uniqueness of individual profiles while accommodating shared attributes within family portfolios.
質問 # 134
Northern Trail Outfitters uses B2C Commerce and is exploring implementing Data Cloud to get a unified view of its customers and all their order transactions.
What should the consultant keep in mind with regard to historical data ingesting order data using the B2C Commerce Order Bundle?
正解：B
解説：
The B2C Commerce Order Bundle is a data bundle that creates a data stream to flow order data from a B2C Commerce instance to Data Cloud. However, this data bundle does not ingest any historical data and only ingests new orders from the time the data stream is created. Therefore, if a consultant wants to ingest historical order data, they need to use a different method, such as exporting the data from B2C Commerce and importing it to Data Cloud using a CSV file12. References:
Create a B2C Commerce Data Bundle
Data Access and Export for B2C Commerce and Commerce Marketplace
質問 # 135
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