さらに、PassTest 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=1OjlTfaLkjP_kkQPaPyUMuM7ATnh9iayo
それでもData-Con-101認定試験に腹を立て、インターネット上の専門のData-Con-101学習ガイド教材を無意識に探している場合、受験者がキーの整理に役立つ最高のData-Con-101試験準備教材を選択するのに良い方法です。知識を効果的かつ迅速に。ご購入前に、参照用に無料のPDFデモをダウンロードできます。製品を購入すると、10分以内に製品を受け取ることができます。Data-Con-101試験にあまり時間をかける必要はありませんが、短時間で認定資格を取得できます。
| Section | Weight | Objectives |
|---|---|---|
| Identity Resolution | 14% | - Matching rules and application - Unified identity outcomes and use cases - Reconciliation rules and data unification |
| Data Cloud Setup and Administration | 12% | - Data streams, data bundles, and data spaces - Permissions, permission sets, and org settings - Data exploration and diagnostics: Explorer tools, APIs - Administration tools: reports, dashboards, flows, packaging |
| Segmentation and Insights | 18% | - Calculated vs. streaming insights - Segment creation, maintenance, and membership analysis - Segmentation concepts and business scenarios |
| Data Cloud Overview | 18% | - Common enterprise use cases - Core functions, terminology, and business value - Architecture, dependencies, and lifecycle - Data ethics and responsible usage principles |
| Data Ingestion and Modeling | 20% | - Transformation and data mapping capabilities - Data modeling best practices aligned with identity resolution - Validation and inspection of ingested data - Ingestion from various source systems |
| Act on Data | 18% | - Data actions and requirements - Troubleshooting activation issues - Attributes, related attributes, and timing dependencies - Activation concepts and use cases |
貴重な時間を無駄にすることを心配する必要はありませんが、Data-Con-101認定を取得することに失敗します。多くの人が教材を使用しており、試験の合格率は99％です。これは、教材で学習している限り、間違いなくData-Con-101試験に合格することを意味します。何らかの問題が発生し、Data-Con-101試験にSalesforce Certified Data Cloud Consultant合格しなかった場合、全額返金されます。当社Salesforceの誠実さは、製品の品質に起因しています。試験の学習資料の1年間の無料アップデートを提供します。さあ、決心してData-Con-101試験の急流を手に入れましょう！
質問 # 135
Every day, Northern Trail Outfitters uploads a summary of the last 24 hours of store transactions to a new file in an Amazon S3 bucket, and files older than seven days are automatically deleted. Each file contains a timestamp in a standardized naming convention.
Which two options should a consultant configure when ingesting this data stream?
Choose 2 answers
正解：A、D
解説：
When ingesting data from an Amazon S3 bucket, the consultant should configure the following options:
The refresh mode should be set to "Upsert", which means that new and updated records will be added or updated in Data Cloud, while existing records will be preserved. This ensures that the data is always up to date and consistent with the source.
The filename should contain a wildcard to accommodate the timestamp, which means that the file name pattern should include a variable part that matches the timestamp format. For example, if the file name is store_transactions_2023-12-18.csv, the wildcard could be store_transactions_*.csv. This ensures that the ingestion process can identify and process the correct file every day.
The other options are not necessary or relevant for this scenario:
Deletion of old files is a feature of the Amazon S3 bucket, not the Data Cloud ingestion process. Data Cloud does not delete any files from the source, nor does it require the source files to be deleted after ingestion.
Full Refresh is a refresh mode that deletes all existing records in Data Cloud and replaces them with the records from the source file. This is not suitable for this scenario, as it would result in data loss and inconsistency, especially if the source file only contains the summary of the last 24 hours of transactions. References: Ingest Data from Amazon S3, Refresh Modes
質問 # 136
A company stores customer data in Marketing Cloud and uses the Marketing Cloud Connector to ingest data into Data Cloud.
Where does a request for data deletion or right to be forgotten get submitted?
正解：D
質問 # 137
Which two steps should a consultant take if a successfully configured Amazon S3 data stream fails to refresh with a "NO FILE FOUND" error message?
Choose 2 answers
正解：A、D
解説：
A "NO FILE FOUND" error message indicates that Data Cloud cannot access or locate the file from the Amazon S3 source. There are two possible reasons for this error and two corresponding steps that a consultant should take to troubleshoot it:
The Data Cloud user does not have the correct permissions to read the file from the Amazon S3 bucket. This could happen if the user's permission set or profile does not include the Data Cloud Data Stream Read permission, or if the user's Amazon S3 credentials are invalid or expired. To fix this issue, the consultant should check and update the user's permissions and credentials in Data Cloud and Amazon S3, respectively.
The file does not exist in the specified bucket location. This could happen if the file name or path has changed, or if the file has been deleted or moved from the Amazon S3 bucket. To fix this issue, the consultant should check and verify the file name and path in the Amazon S3 bucket, and update the data stream configuration in Data Cloud accordingly. References: Create Amazon S3 Data Stream in Data Cloud, How to Use the Amazon S3 Storage Connector in Data Cloud, Amazon S3 Connection
質問 # 138
A consultant is setting up Data Cloud for a multi-brand organization and is using data spaces to segregate its data for various brands.
While starting the mapping of a data stream, the consultant notices that they cannot map the object for one of the brands.
What should the consultant do to make the object available for a new data space?
正解：A
解説：
When setting up Data Cloud for a multi-brand organization, if a consultant cannot map an object for one of the brands during data stream setup, they should navigate to the Data Space tab and select the object to include it in the new data space. Here's why:
Understanding the Issue
The consultant is using data spaces to segregate data for different brands.
While mapping a data stream, they notice that an object is unavailable for one of the brands.
This indicates that the object has not been associated with the new data space.
Why Navigate to the Data Space Tab?
Data Spaces and Object Availability :
Objects must be explicitly added to a data space before they can be used in mappings or transformations within that space.
If an object is missing, it means it has not been included in the data space configuration.
Solution Approach :
By navigating to the Data Space tab , the consultant can add the required object to the new data space.
This ensures the object becomes available for mapping and use in the data stream.
Steps to Resolve the Issue
Step 1: Navigate to the Data Space Tab
Go to Data Cloud > Data Spaces and locate the new data space for the brand.
Step 2: Add the Missing Object
Select the data space and click on Edit .
Add the required object (e.g., a Data Model Object or Data Lake Object) to the data space.
Step 3: Save and Verify
Save the changes and return to the data stream setup.
Verify that the object is now available for mapping.
Step 4: Complete the Mapping
Proceed with mapping the object in the data stream.
Why Not Other Options?
A). Create a new data stream and map the second data stream to the data space :Creating a new data stream is unnecessary if the issue is simply object availability in the data space.
B). Copy data from the default data space to a new DMO using the Data Copy feature and link this DMO to the new data space :This is overly complex and not required if the object can simply be added to the data space.
C). Create a batch transform to split data between different data spaces :Batch transforms are used for data processing, not for resolving object availability issues.
Conclusion
The correct solution is to navigate to the Data Space tab and select the object to include it in the new data space . This ensures the object is available for mapping and resolves the issue efficiently.
質問 # 139
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 # 140
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SalesforceのData-Con-101認定試験を受験するあなたは、試験に合格する自信を持たないですか。それでも恐れることはありません。PassTestはData-Con-101認定試験に対する最高な問題集を提供してあげますから。PassTestの Data-Con-101問題集は最新で最全面的な資料ですから、きっと試験に受かる勇気と自信を与えられます。これは多くの受験生に証明された事実です。
Data-Con-101キャリアパス: https://www.passtest.jp/Salesforce/Data-Con-101-shiken.html
P.S. PassTestがGoogle Driveで共有している無料かつ新しいData-Con-101ダンプ：https://drive.google.com/open?id=1OjlTfaLkjP_kkQPaPyUMuM7ATnh9iayo