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NEW QUESTION # 15
A Customer is migrating 10 million order and 30 million order lines into Salesforce using Bulk API. The Engineer is experiencing time-out errors or long delays querying parents order IDs in Salesforce before importing related order line items. What is the recommended solution?
Answer: B
NEW QUESTION # 16
Universal Containers (UC) needs to run monthly and yearly reports on opportunities and orders for sales reporting. There are 5 million opportunities and 10 million orders. Sales users are complaining that the report will regularly timeout.
What is the fastest and most effective way for a data architect to solve the time-out issue?
Answer: C
Explanation:
Creating an aggregate custom object that summarizes the monthly and yearly values into the required format for the required reports (option D) is the fastest and most effective way for a data architect to solve the time-out issue, as it reduces the amount of data that needs to be queried and processed by the reports. Creating custom fields on opportunity and copying data from order into those custom fields (option A) is not a good solution, as it may create data redundancy and inconsistency, and it does not address the large volume of data. Extracting opportunity and order data from Salesforce and using a third-party reporting tool (option B) is also not a good solution, as it may introduce additional complexity and cost, and it does not leverage the native reporting features of Salesforce. Creating a skinny table in Salesforce and copying order and opportunity fields into it (option C) is also not a good solution, as it may not support all the reporting requirements, and it does not reduce the number of records.
NEW QUESTION # 17
Northern Trail Outfitters <NTO> is streaming IoT data from connected devices to a cloud database. Every 24 hours. 100,000 records are generated.
NIO employees will need to see these lol records within Salesforce and generate weekly reports on it. Developers may also need to write programmatic logic to aggregate the records and incorporate them into workflows.
Which data pattern will allow a data architect to satisfy these requirements, while also keeping limits in mind?
Answer: A
Explanation:
Persistence is the data pattern that will allow a data architect to satisfy the requirements, while also keeping limits in mind. Persistence means storing data from external sources in Salesforce objects, either standard or custom. This allows you to access the data within Salesforce and use it for reporting, analytics, workflows, and other features. Persistence also helps you avoid hitting API limits or performance issues when accessing large volumes of data from external systems. You can use various tools such as Data Loader, Bulk API, or Platform Events to persist IoT data from connected devices to a cloud database in Salesforce.
NEW QUESTION # 18
Universal Containers would like to have a Service-Level Agreement (SLA) of 1 day for any data loss due to unintentional or malicious updates of records in Salesforce. What approach should be suggested to address this requirement?
Answer: C
Explanation:
Evaluating a third-party AppExchange app, such as OwnBackup or Spanning, etc., for backup and archival purposes is the best approach to address the requirement of having a one-day SLA for any data loss. These apps can provide automated backups, granular restores, and compliance features that can help UC recover from any data loss or corruption scenarios.
NEW QUESTION # 19
DreamHouse Realty has a legacy system that captures Branch Offices and Transactions. DreamHouse Realty has 15 Branch Offices. Transactions can relate to any Branch Office. DreamHouse Realty has created hundreds of thousands of Transactions per year.
A Data Architect needs to denormalize this data model into a single Transaction object with a Branch Office picklist.
What are two important considerations for the Data Architect in this scenario? (Choose two.)
Answer: B,D
Explanation:
The Data Architect should consider the limitations on Org data storage and the Bulk API limitations on picklist fields when denormalizing the data model into a single Transaction object with a Branch Office picklist. The Org data storage limit is the total amount of data that can be stored in a Salesforce Org, and it depends on the edition and license type of the Org 1 . The Bulk API limit on picklist fields is the maximum number of values that can be imported or exported using the Bulk API, and it is 1,000 values per picklist field
2 . These limitations could affect the performance and scalability of the data model, and the Data Architect should plan accordingly.
NEW QUESTION # 20
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