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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Architecture | 20% | - Governor limits and bulk processing - Performance tuning and optimization - Archiving and data lifecycle management - Architecture patterns and design principles |
| Topic 2: Data Modeling | 25% | - Indexing strategies - Skinny tables for performance optimization - Large Data Volumes (LDV) design considerations - Big Objects and external objects - Normalization and denormalization strategies |
| Topic 3: Data Governance | 20% | - Data stewardship roles and responsibilities - Compliance and regulatory considerations - Data quality standards and metrics - Data retention and archiving policies |
| Topic 4: Master Data Management | 20% | - Identity resolution - Data cleansing techniques - Data duplication and matching rules |
| Topic 5: Data Integration | 15% | - Real-time vs batch integration patterns - ETL tools and data migration strategies - Handling locks and parallelism during migration - Sharing rules impact on data integration - API-based integration (REST, SOAP, Bulk API) |
Data-Architect試験のAPPテストエンジンのような多くの受験者は、非常に強力に思えるので。 このバージョンに興味がある場合は、購入できます。 このバージョンでは、Data-Architect試験問題集の質問と回答だけでなく、実践と習得が容易な機能も提供します。 携帯電話、iPadなどのブラウザを開くことができる場合にのみ、あらゆる電子製品で使用できます。 常に実際のテストに不安がある場合、またはテストの終了時間を制御できない場合、Salesforce Data-Architect試験ブレーンダンプのAPPテストエンジンは、時間指定テストを設定し、実際のテストシーンをシミュレートできます。
質問 # 207
Northern Trail Outfitters (NTO) has the following systems:
Customer master-source of truth for customer information
Service cloud-customer support
Marketing cloud-marketing support
Enterprise data warehouse-business reporting
The customer data is duplicated across all these systems and are not kept in sync. Customers are also complaining that they get repeated marketing emails and have to call into update their information.
NTO is planning to implement master data management (MDM) solution across the enterprise.
Which three data will an MDM tool solve?
Choose 3 answers
正解：A、D、E
解説：
According to the What is Master Data Management (MDM)? article, some of the data challenges that an MDM tool can solve are data duplication, data accuracy and quality, and data standardization. The article states that "MDM solutions comprise a broad range of data cleansing, transformation, and integration practices. As data sources are added to the system, MDM initiates processes to identify, collect, transform, and repair data. Once the data meets the quality thresholds, schemas and taxonomies are created to help maintain a high-quality master reference." Therefore, an MDM tool can help NTO eliminate data duplication across different systems, improve data accuracy and quality by removing errors and inconsistencies, and standardize data formats and definitions for better integration and analysis.
質問 # 208
Universal Containers (UC) has a data model as shown in the image. The Project object has a private sharing model, and it has Roll -Up summary fields to calculate the number of resources assigned to the project, total hours for the project, and the number of work items associated to the project. What should the architect consider, knowing there will be a large amount of time entry records to be loaded regularly from an external system into Salesforce.com?
正解：D
質問 # 209
Universal Containers (UC) is using Salesforce Sales & Service Cloud for B2C sales and customer service but they are experiencing a lot of duplicate customers in the system. Which are two recommended approaches for UC to avoid duplicate data and increase the level of data quality?
正解：A、B
解説：
Using Duplicate Management and Data.com Clean are two recommended approaches for UC to avoid duplicate data and increase the level of data quality. Duplicate Management can prevent or alert users when they try to create or edit records that are duplicates of existing records. Data.com Clean can compare Salesforce records with Data.com records and provide suggestions for updates or removals of duplicate records.
質問 # 210
Universal Containers (UC) has multi -level account hierarchies that represent departments within their major Accounts. Users are creating duplicate Contacts across multiple departments. UC wants to clean the data so as to have a single Contact across departments. What two solutions should UC implement to cleanse their data?
Choose 2 answers
正解：A、C
解説：
Making use of a third-party tool to help merge duplicate Contacts across Accounts and using Data.com to standardize Contact address information to help identify duplicates are two solutions that UC should implement to cleanse their data and have a single Contact across departments. A third-party tool, such as an app from the AppExchange, can provide advanced features and capabilities for finding and merging duplicate Contacts across different Accounts, based on various criteria and rules. Data.com can provide address verification and standardization services that can enhance the quality and consistency of Contact address information and make it easier to identify duplicates. The other options are not feasible or effective for cleansing the data, as they would either not work across different Accounts, not address the root cause of duplication, or not provide sufficient functionality for merging duplicates
質問 # 211
Universal Containers (UC) is transitioning from Classic to Lightning Experience.
What does UC need to do to ensure users have access to its notices and attachments in Lightning Experience?
正解：D
質問 # 212
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