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| Section | Weight | Objectives |
|---|---|---|
| Large Data Volume Considerations | 20% | - Storage and optimization
|
| Salesforce Data Management | 25% | - Data import and export strategies
|
| Data Modeling and Database Design | 25% | - Indexing and data structure
|
| Data Integration and Master Data Management | 10% | - Integration patterns and tools
|
| Data Governance and Compliance | 20% | - Data lifecycle management
|
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NEW QUESTION # 99
Northern Trail Outfitters (NTO) has a variety of customers that include householder, businesses, and individuals.
The following conditions exist within its system:
NTO has a total of five million customers.
Duplicate records exist, which is replicated across many systems, including Salesforce.
Given these conditions, there is a lack of consistent presentation and clear identification of a customer record.
Which three option should a data architect perform to resolve the issues with the customer data?
Answer: A,B,D
Explanation:
Creating a unique global customer ID for each customer and storing that in all systems for referential identity (option A), investing in a data duplicate tool to de-dupe and merge duplicate records across all systems (option C), and creating a customer master database external to Salesforce as a system of truth and syncing the customer data with all systems (option E) are the three options that a data architect should perform to resolve the issues with the customer data. Option A ensures that each customer can be uniquely identified across different systems, option C eliminates duplicate records and improves data quality, and option E provides a consistent and reliable source of customer data for all systems. Using Salesforce CDC to sync customer data across all systems (option B) is not a good option, as it does not address the duplication or inconsistency issues. Duplicating customer records across the system and providing a two-way sync of data between the systems (option D) is also not a good option, as it may create more confusion and conflicts with customer data.
NEW QUESTION # 100
Universal Container (UC) stores 10 million rows of inventory data in a cloud database, As part of creating a connected experience in Salesforce, UC would like to this inventory data to Sales Cloud without a import. UC has asked its data architect to determine if Salesforce Connect is needed.
Which three consideration should the data architect make when evaluating the need for Salesforce Connect?
Answer: A,B,E
Explanation:
The correct answer is A, D, and E. The data architect should consider these three factors when evaluating the need for Salesforce Connect: You want real-time access to the latest data from other systems, you have a large amount of data that you don't want to copy into your Salesforce org, and you need to small amounts of external data at any one time. These factors indicate that Salesforce Connect is a suitable solution for creating a connected experience in Salesforce without importing inventory data from a cloud database. Salesforce Connect allows Salesforce to access external data via OData or custom adapters without storing it in Salesforce, which reduces storage costs and ensures data freshness. Salesforce Connect also supports pagination and caching to optimize performance when accessing small amounts of external data at any one time. Option B is incorrect because if you have a large amount of data and would like to copy subsets of it into Salesforce, you may not need Salesforce Connect but rather use other tools such as Data Loader or API integration. Option C is incorrect because if you need to expose data via a virtual private connection, you may not need Salesforce Connect but rather use other tools such as VPN or VPC peering.
NEW QUESTION # 101
Ursa Major Solar has defined a new Data Quality Plan for their Salesforce data.
Which two approaches should an Architect recommend to enforce the plan throughout the organization?
(Choose two.)
Answer: B,C
Explanation:
Enforcing critical business processes by using Workflow, Validation Rules, and Apex code can help ensure data quality and consistency by applying rules and logic to the data entry and update3. Scheduling a weekly dashboard displaying records that are missing information to be sent to managers for review can help identify and fix data quality issues by providing visibility and accountability4.
NEW QUESTION # 102
Universal Containers (UC) needs to move millions of records from an external enterprise resource planning (ERP) system into Salesforce.
What should a data architect recommend to be done while using the Bulk API in serial mode instead of parallel mode?
Answer: D
Explanation:
According to this article, inserting 1 million orders distributed across a variety of accounts with potential lock exceptions is a scenario where using the Bulk API in serial mode can help to prevent the lock contention issue that can occur in parallel mode.
NEW QUESTION # 103
A customer is facing locking issued when importing large data volumes of order records that are children in a master-detail relationship with the Account object. What is the recommended way to avoid locking issues during import?
Answer: A
NEW QUESTION # 104
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