Salesforce Data-Architect Exam With Confidence Using Practice Dumps

 Implementing a custom big object to store the data is the best recommendation to reduce the performance degradation of the platform, as it allows storing large volumes of data that do not need real-time access or reporting. Custom big objects can be defined using metadata API or developer console, and support up to 1 billion records per object. Creating a custom object or using the standard order object would consume a lot of storage space and impact the performance of queries and reports. Using a standard big object defined by salesforce would not be applicable for order records, as standard big objects are predefined for specific use cases such as audit trails or field history.

 Data storage limits and API request limits are two important factors that affect the data integration and storage in Salesforce. Data storage limits determine how much data can be stored in Salesforce, and API request limits determine how many API calls can be made to Salesforce in a 24-hour period. Both of these limits depend on the edition and license type of the Salesforce org. Workflow rule limits and webservice callout limits are not directly related to data integration and storage, but rather to business logic and external services.

The three activities that will be required to identify a successful master data management strategy are:

Identify data to be replicated: This activity involves determining which data elements need to be copied from one system to another, and how frequently the replication should occur. This can help ensure data consistency and availability across systems.

Create a data archive strategy: This activity involves defining how historical data will be stored, accessed, and deleted over time. This can help optimize data storage, performance, and compliance.

Define the systems of record for critical data: This activity involves identifying which system owns and maintains the authoritative version of each data element. This can help avoid data conflicts and duplication across systems67.

Install a data warehouse is not a required activity, but rather a possible option for consolidating data from multiple sources for analytics purposes. Choose a Business Intelligence tool is not a required activity, but rather a possible option for visualizing and reporting on data from various sources.