さらに、Japancert Data-Con-101ダンプの一部が現在無料で提供されています：https://drive.google.com/open?id=1i9nT1Dk5QLab-41n38z7q7R9wJ9i5PFx
当社のData-Con-101学習教材には、ユーザーのすべての要件を基本的に満たす多くの利点があります。試用期間中に良いコメントや提案がある場合は、タイムリーにフィードバックをお寄せください。私たちのData-Con-101学習資料はあなたに利益をもたらします、私たちはユーザーの利益のためにそれをすべてします。 Data-Con-101トレーニング資料の合格率は99％〜100％であり、これはLoaylのお客様から証明されており、次のメリットが得られます。 Data-Con-101練習ファイルは、ご参加をお待ちしております。
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Cloud Overview | 18% | - Core functions, terminology, and business value - Data ethics and responsible usage principles - Architecture, dependencies, and lifecycle - Common enterprise use cases |
| Topic 2: Act on Data | 18% | - Troubleshooting activation issues - Activation concepts and use cases - Data actions and requirements - Attributes, related attributes, and timing dependencies |
| Topic 3: Data Cloud Setup and Administration | 12% | - Administration tools: reports, dashboards, flows, packaging - Data streams, data bundles, and data spaces - Permissions, permission sets, and org settings - Data exploration and diagnostics: Explorer tools, APIs |
| Topic 4: Segmentation and Insights | 18% | - Segmentation concepts and business scenarios - Calculated vs. streaming insights - Segment creation, maintenance, and membership analysis |
| Topic 5: Data Ingestion and Modeling | 20% | - Transformation and data mapping capabilities - Validation and inspection of ingested data - Data modeling best practices aligned with identity resolution - Ingestion from various source systems |
| Topic 6: Identity Resolution | 14% | - Matching rules and application - Reconciliation rules and data unification - Unified identity outcomes and use cases |
Data-Con-101模擬テストは、シラバスの変更とSalesforce理論と実践の最新の進展に応じて何百人もの専門家によって改訂された高品質の製品であり、各学生が重要なコンテンツの学習を完了することができるように焦点を絞ってターゲットを絞っています 最短時間で。 Data-Con-101トレーニング準備では、Data-Con-101試験を受ける前に20〜30時間の練習をするだけで済みます。 一方、Data-Con-101試験の質問を使用すると、Salesforce Certified Data Cloud Consultant試験の焦点が失われることを心配する必要はありません。
質問 # 120
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?
正解：D
解説：
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. References: Data Cloud Activation, Contact Point for Marketing Cloud
質問 # 121
Cloud Kicks plans to do a full deletion of one of its existing data streams and its underlying data lake object (DLO).
What should the consultant consider before deleting the data stream?
正解：D
解説：
Data Streams and DLOs: In Salesforce Data Cloud, data streams are used to ingest data, which is then stored in Data Lake Objects (DLOs).
Deletion Considerations: Before deleting a data stream, it's crucial to consider the dependencies and usage of the underlying DLO.
Data Transform Usage:
Impact of Deletion: If the underlying DLO is used in a data transform, deleting the data stream will affect any transforms relying on that DLO.
Dependency Check: Ensure that the DLO is not part of any active data transformations or processes that could be disrupted by its deletion.
References:
Salesforce Data Cloud Documentation: Data Streams
Salesforce Data Cloud Documentation: Data Transforms
質問 # 122
To import campaign members into a campaign in Salesforce CRM, a user wants to export the segment to Amazon S3. The resulting file needs to include the Salesforce CRM Campaign ID in the name.
What are two ways to achieve this outcome?
Choose 2 answers
正解：B、C
解説：
The two ways to achieve this outcome are A and C. Include campaign identifier in the activation name and include campaign identifier in the filename specification. These two options allow the user to specify the Salesforce CRM Campaign ID in the name of the file that is exported to Amazon S3. The activation name and the filename specification are both configurable settings in the activation wizard, where the user can enter the campaign identifier as a text or a variable. The activation name is used as the prefix of the filename, and the filename specification is used as the suffix of the filename. For example, if the activation name is
"Campaign_123" and the filename specification is "{segmentName}_{date}", the resulting file name will be
"Campaign_123_SegmentA_2023-12-18.csv". This way, the user can easily identify the file that corresponds to the campaign and import it into Salesforce CRM.
The other options are not correct. Option B is incorrect because hard coding the campaign identifier as a new attribute in the campaign activation is not possible. The campaign activation does not have any attributes, only settings. Option D is incorrect because including the campaign identifier in the segment name is not sufficient.
The segment name is not used in the filename of the exported file, unless it is specified in the filename specification. Therefore, the user will not be able to see the campaign identifier in the file name.
質問 # 123
Northern Trail Outfitters has the following customer data to ingest into Data Cloud and use for segmentation.
1. Propensity to purchase
2. Has active membership
3. Work email address
Which data types should the consultant use when ingesting this data?
正解：B
解説：
When ingesting customer data into Data Cloud, it is critical to use the correct data types to ensure proper segmentation and usage. Here's how the consultant should handle the provided data points:
Propensity to Purchase :
This represents a likelihood or probability value, typically expressed as a percentage (e.g., 75%).
The appropriate data type for this field is Percent , which allows for easy interpretation and use in segmentation.
Has Active Membership :
This is a binary value indicating whether a customer has an active membership (e.g., "Yes" or "No").
The correct data type for this field is Boolean , which supports true/false values.
Work Email Address :
This is a standard email address field.
The appropriate data type is Email , which ensures proper validation and formatting.
Why Not Other Options?
A). Number, Text, URL: These data types are incorrect because "Propensity to Purchase" should be a percentage, not a generic number. Similarly, "Work Email Address" should be an email type, not a URL.
C). Number, Boolean, Text: While "Number" could work for propensity scores, it lacks the semantic meaning of a percentage. Additionally, "Text" is not suitable for email addresses.
D). Percent, Number, Email: Using "Number" for "Has Active Membership" is incorrect because it is a binary value, not a numeric one.
By selecting Percent, Boolean, Email , the consultant ensures that the data is correctly formatted and ready for segmentation and analysis.
質問 # 124
A customer has two Data Cloud orgs. A new configuration has been completed and tested for an Amazon S3 data stream and its mappings in one of the Data Cloud orgs.
What is recommended to package and promote this configuration to the customer's second org?
正解：B
解説：
Data Cloud Configuration Promotion: When managing configurations across multiple Salesforce Data Cloud orgs, it's essential to use tools that ensure consistency and accuracy in the promotion process.
Data Kits: Salesforce Data Cloud allows users to package and promote configurations using data kits. These kits encapsulate data stream definitions, mappings, and other configuration elements into a portable format.
Process:
Create a data kit in the source org that includes the Amazon S3 data stream configuration and mappings.
Export the data kit from the source org.
Import the data kit into the target org, ensuring that all configurations are transferred accurately.
Advantages: Using data kits simplifies the migration process, reduces the risk of configuration errors, and ensures that all settings and mappings are consistently applied in the new org.
References:
Salesforce Data Cloud Developer Guide
Salesforce Data Cloud Packaging
質問 # 125
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Data-Con-101日本語: https://www.japancert.com/Data-Con-101.html
さらに、Japancert Data-Con-101ダンプの一部が現在無料で提供されています：https://drive.google.com/open?id=1i9nT1Dk5QLab-41n38z7q7R9wJ9i5PFx