ちなみに、Jpshiken Data-Con-101の一部をクラウドストレージからダウンロードできます：https://drive.google.com/open?id=1-owj4DI8GM21A6BfaCP9ClKc3CrjdODw
JpshikenのData-Con-101試験参考書は他のData-Con-101試験に関連するする参考書よりずっと良いです。これは試験の一発合格を保証できる問題集ですから。この問題集の高い合格率が多くの受験生たちに証明されたのです。JpshikenのData-Con-101問題集は成功へのショートカットです。この問題集を利用したら、あなたは試験に準備する時間を節約することができるだけでなく、試験で楽に高い点数を取ることもできます。
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Salesforce Data-Con-101試験のAPPテストエンジンは、ほとんどの認定候補者がファッションであり、この新しい学習方法に簡単に適応できるため、少なくとも60％の受験者に人気があります。 Data-Con-101試験のAPPテストエンジンは、いつでもどこでも使用できると考える人がいます。 また、候補者の一部は、このバージョンでは実際のテストで実際のシーンをシミュレートできると考えています。 ブラウザを開くことができれば、学ぶことができます。 また、オフラインで学習したい場合は、Data-Con-101試験のAPPテストエンジンをダウンロードしてインストールした後、キャッシュをクリアしないでください。
質問 # 121
A Data Cloud consultant tries to save a new 1-to-l relationship between the Account DMO and Contact Point Address DMO but gets an error.
What should the consultant do to fix this error?
正解：C
質問 # 122
How can a consultant modify attribute names to match a naming convention in Cloud File Storage targets?
正解：A
解説：
A Cloud File Storage target is a type of data action target in Data Cloud that allows sending data to a cloud storage service such as Amazon S3 or Google Cloud Storage. When configuring an activation to a Cloud File Storage target, a consultant can modify the attribute names to match a naming convention by setting preferred attribute names in Data Cloud. Preferred attribute names are aliases that can be used to control the field names in the target file. They can be set for each attribute in the activation configuration, and they will override the default field names from the data model object. The other options are incorrect because they do not affect the field names in the target file. Using a formula field to update the field name in an activation will not change the field name, but only the field value. Updating attribute names in the data stream configuration will not affect the existing data lake objects or data model objects. Updating field names in the data model object will change the field names for all data sources and activations that use the object, which may not be desirable or consistent. References: Preferred Attribute Name, Create a Data Cloud Activation Target, Cloud File Storage Target
質問 # 123
A consultant is troubleshooting a segment error.
Which error message is solved by using calculated insights Instead of nested segments?
正解：D
解説：
Segment Errors in Data Cloud: Segments in Salesforce Data Cloud can encounter errors due to various reasons, including complexity and nested segments.
Calculated Insights vs. Nested Segments:
Complex Segments: If a segment is too complex due to extensive nesting or numerous conditions, it can lead to errors.
Simplification with Calculated Insights: Using calculated insights can simplify segment creation by pre- computing and storing complex logic or aggregations, which can then be referenced directly in the segment.
Solution:
Step 1: Identify the segment causing the "Segment is too complex" error.
Step 2: Break down complex logic into calculated insights.
Step 3: Use these calculated insights in segment definitions to reduce complexity.
References:
Salesforce Data Cloud Calculated Insights
Salesforce Data Cloud Segment Creation
質問 # 124
Which two requirements must be met for a calculated insight to appear in the segmentation canvas?
Choose 2 answers
正解：B、C
解説：
A calculated insight is a custom metric or measure that is derived from one or more data model objects or data lake objects in Data Cloud. A calculated insight can be used in segmentation to filter or group the data based on the calculated value. However, not all calculated insights can appear in the segmentation canvas. There are two requirements that must be met for a calculated insight to appear in the segmentation canvas:
The calculated insight must contain a dimension including the Individual or Unified Individual Id. A dimension is a field that can be used to categorize or group the data, such as name, gender, or location. The Individual or Unified Individual Id is a unique identifier for each individual profile in Data Cloud. The calculated insight must include this dimension to link the calculated value to the individual profile and to enable segmentation based on the individual profile attributes.
The primary key of the segmented table must be a dimension in the calculated insight. The primary key is a field that uniquely identifies each record in a table. The segmented table is the table that contains the data that is being segmented, such as the Customer or the Order table. The calculated insight must include the primary key of the segmented table as a dimension to ensure that the calculated value is associated with the correct record in the segmented table and to avoid duplication or inconsistency in the segmentation results.
Create a Calculated Insight, Use Insights in Data Cloud, Segmentation
質問 # 125
Northern Trail Outfitters uploads new customer data to an Amazon S3 Bucket on a daily basis to be ingested in Data Cloud.
In what order should each process be run to ensure that freshly imported data is ready and available to use for any segment?
正解：C
解説：
To ensure that freshly imported data from an Amazon S3 Bucket is ready and available to use for any segment, the following processes should be run in this order:
Refresh Data Stream: This process updates the data lake objects in Data Cloud with the latest data from the source system. It can be configured to run automatically or manually, depending on the data stream settings1.
Refreshing the data stream ensures that Data Cloud has the most recent and accurate data from the Amazon S3 Bucket.
Identity Resolution: This process creates unified individual profiles by matching and consolidating source profiles from different data streams based on the identity resolution ruleset. It runs daily by default, but can be triggered manually as well2. Identity resolution ensures that Data Cloud has a single view of each customer across different data sources.
Calculated Insight: This process performs calculations on data lake objects or CRM data and returns a result as a new data object. It can be used to create metrics or measures for segmentation or analysis purposes3.
Calculated insights ensure that Data Cloud has the derived data that can be used for personalization or activation.
1: Configure Data Stream Refresh and Frequency - Salesforce
2: Identity Resolution Ruleset Processing Results - Salesforce
3: Calculated Insights - Salesforce
質問 # 126
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Salesforce Data-Con-101認定試験の難しさで近年にほとんどの受験生は資格認定試験に合格しなっかたと良く知られます。だから、我々社の有効な試験問題集は長年にわたりSalesforce Data-Con-101認定資格試験問題集作成に取り組んだIT専門家によって書いてます。実際の試験に表示される質問と正確な解答はあなたのSalesforce Data-Con-101認定資格試験合格を手伝ってあげます。
Data-Con-101認定試験トレーリング: https://www.jpshiken.com/Data-Con-101_shiken.html
ちなみに、Jpshiken Data-Con-101の一部をクラウドストレージからダウンロードできます：https://drive.google.com/open?id=1-owj4DI8GM21A6BfaCP9ClKc3CrjdODw