AP-215試験勉強過去問 & AP-215資格練習

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Salesforce AP-215 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Visualization and Dashboards- Calculated Measurements
  • 1. Creating custom calculations
  • 2. Formulas and functions
- Filters and Drill-Downs
  • 1. Global and local filters
  • 2. Drill-down configuration
- Dashboard Design
  • 1. KPI widgets and chart types
  • 2. Building dashboards
Topic 2: Reports and Activation- Report Types
  • 1. Standard and custom reports
  • 2. Report scheduling
- Data Export
  • 1. Integration with external tools
  • 2. Exporting data and insights
Topic 3: Data Harmonization and Data Model- Parent-Child Data Streams
  • 1. Linking data streams
  • 2. Data Update Permissions
  • 3. Override Media Buy Hierarchies
- Dimensions and Measures
  • 1. Creating and managing measures (KPIs)
  • 2. Calculated measurements
  • 3. Creating and managing dimensions
- Data Classification
  • 1. Attribute classification
  • 2. Hierarchy management
Topic 4: Data Integration and Configuration- Data Ingestion
  • 1. File upload and API data sources
  • 2. Scheduling and refresh settings
- Data Stream Types
  • 1. Configuring data source properties
  • 2. Understanding different data stream types
- Data Mapping
  • 1. Data model configuration
  • 2. Mapping fields from source files
Topic 5: Marketing Intelligence Platform Fundamentals- Administration and Security
  • 1. User management and permissions
  • 2. Workspace and account settings
- Platform Overview
  • 1. Marketing Cloud Intelligence (formerly Datorama) overview
  • 2. Key features and capabilities

>> AP-215試験勉強過去問 <<

AP-215資格練習 & AP-215復習攻略問題

AP-215認定はこの分野で大きな効果があり、将来的にもあなたのキャリアに影響を与える可能性があります。 AP-215実際の質問ファイルはプロフェッショナルで高い合格率であるため、ユーザーは最初の試行で試験に合格できます。高品質と合格率により、私たちは有名になり、より速く成長しています。多くの受験者は、AP-215学習ガイド資料が資格試験に最適なアシスタントであり、学習するために他のトレーニングコースや書籍を購入する必要がなく、試験の前にAP-215 Accredited Professional Certification試験ブレーンダンプを実践する、彼らは簡単に短時間で試験に合格することができます。

Salesforce Marketing Cloud Intelligence Accredited Professional 認定 AP-215 試験問題 (Q42-Q47):

質問 # 42
A technical architect is provided with the logic and Opportunity file shown below:
The opportunity status logic is as follows:
For the opportunity stages "Interest", "Confirmed Interest" and "Registered", the status should be "Open".
For the opportunity stage "Closed", the opportunity status should be closed Otherwise, return null for the opportunity status.

Given the above file and logic and assuming that the file is mapped in a GENERIC data stream type with the following mapping
"Day" - Standard "Day" field
"Opportunity Key" > Main Generic Entity Key
"Opportunity Stage" - Main Generic Entity Attribute
"Opportunity Count" - Generic Custom Metric
A pivot table was created to present the count of opportunities in each stage. The pivot table is filtered on Jan 11th. What is the number of 'opportunities in the Confirmed Interest stage?

正解：B

解説：
Based on the data provided and the date filter set to January 11th, there are no records for 'Confirmed Interest' on that specific date in the Opportunity file. Thus, the number of opportunities in the 'Confirmed Interest' stage for January 11th would be zero (0). In Salesforce Marketing Cloud Intelligence, when creating pivot tables, the data is aggregated based on the selected filters. If no records meet the filter criteria, the result for that category would be zero. The answer is supported by best practices in data analysis and reporting within Salesforce Marketing Cloud Intelligence, where date filters are applied to segment and analyze data.


質問 # 43
A client's data consists of three data streams as follows:
Data Stream A:

正解：A

解説：
For the client's data consisting of three data streams, setting Data Stream A as the Parent allows for inheriting attributes and hierarchies from it to the child data streams. This ensures consistency across the data streams, making it possible to analyze the data collectively, using the structure and attributes defined in the Parent data stream.


質問 # 44
What are unstable measurements?

正解：C

解説：
Unstable measurements refer to metrics that are not aggregated in a standard manner across different grains of data, which can result in inconsistent or unpredictable results when reporting across different dimensions or time frames.
Option C describes a scenario where measurements have manual (Not Auto) aggregation settings, meaning they do not automatically adjust to the aggregation level of the report. Combined with a Granularity setting of 'None', this can lead to instability because the metric isn't bound to a specific granularity, which can cause data inconsistencies or misinterpretations when analyzed at varying levels of detail.


質問 # 45
The following file was uploaded into Marketing Cloud Intelligence as a generic dataset type:

The mapping is as follows:
Day - Day
Web_site_source - Main Generic Entity Attribute 01
Page Views - Generic Metric 1
*Note that 'web_site_key' and 'web_site_name' are NOT mapped.
How many rows will be stored in Marketing Cloud Intelligence after the above file is ingested?

正解：A

解説：
In Marketing Cloud Intelligence, when a file is uploaded as a generic dataset type and mapped accordingly, each unique combination of the mapped fields results in a separate row in the database. The file in question has been mapped with 'Day' to 'Day', 'Web_site_source' to 'Main Generic Entity Attribute 01', and 'Page Views' to 'Generic Metric 1'. The 'web_site_key' and 'web_site_name' are not mapped and thus, won't affect the row count.
Since there are 4 unique combinations of the mapped fields in the uploaded file (each day and source combination is unique), Marketing Cloud Intelligence will store 4 rows after ingestion, corresponding to each unique combination of 'Day' and 'Web_site_source'.


質問 # 46
A client has integrated data from Facebook Ads, Twitter Ads, and Google Ads in Marketing Cloud Intelligence. For each data source, the data follows a naming convention as shown below:
Facebook Ads Naming Convention - Campaign Name:
Camp|D_CampName#Market_Objective#TargetAge_TargetGender
Twitter Ads Naming Convention - Media Buy Name:
Market|TargetAge|Objective|OrderID
' Google Ads Naming Convention - Media Buy Name:
Buying Type_Market_Objective
The client wants to harmonize their data on the common fields between these two platforms (i.e. Market and Objective) using the Harmonization 'Center.
In addition to the previous details, the client provides the following data sample:


Logic specification:
If a value is not present in the Validation List, return "Not Valid"
If a value is not present in the Classification File, return "Unclassified".
If the Harmonization center is used to harmonize the above data and files, what table will show the final output?

正解：A

解説：
The correct table would be Option B.
The harmonization process would identify the 'Market' from the campaign or media buy name based on the delimiter and position rules specified in the naming conventions. The harmonized 'Market' would then be matched against the classification file and validation list. If a value does not match the validation list, it would return 'Not Valid', and if it's not present in the classification file, it would return 'Unclassified'. Option B is the only table showing the 'Not Valid' category which aligns with the logic specification provided.


質問 # 47
......

AP-215試験の準備は精巧にまとめられており、非常に効率的です。時間と労力を節約できます。合格率とヒット率も非常に高く、数千人の受験者が当社のAP-215ガイドトレントを信頼し、試験に合格しています。候補者には非常に多くの保証を提供しており、AP-215学習教材を心配なく購入できます。そのため、当社Salesforceが提供するAP-215試験トレントを十分に理解し、最初の試行でAP-215試験に合格できることを願っています。

AP-215資格練習: https://www.pass4test.jp/AP-215.html

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