![]() ![]() The second objective is given a customer scenario, recommend and use techniques for establishing a "golden source of truth"/"system of record" for the customer domain. ![]() Furthermore, a typical MDM solution should have certain hierarchy management features. Canonical modeling can be used for communication between different enterprise systems. A matching policy can be utilized to determine how the records should be matched. ![]() Data survivorship techniques can be utilized to determine the best candidates for the surviving records. An MDM solution requires choosing an implementation style, such as registry, consolidation, coexistence or transaction. The first objective is to compare and contrast the various techniques, approaches, and considerations for implementing Master Data Management Solutions. There are 4 objectives in the Master Data Management section. However, there are approaches and techniques to reduce or avoid them. It can cause issues such as lock exceptions and long-running sharing calculations. There are three types of data skew, namely, account data skew, lookup skew, and ownership skew. Data skew occurs when too many records are related to a parent record or owner in Salesforce. The last objective requires you to understand approaches and techniques to avoid data skew, including record locking, sharing calculation issues, and excessive child to parent relationships. Async SOQL can be used to query the records in the background. Although records of a big object can be queried using SOQL, not all operations are supported. ![]() An index is created when creating a new big object, which is used to query the records. They do not support all the field types, unlike sObjects. However, special considerations are required for creating, populating and accessing big object records. They can be used to retain records in Salesforce for compliance or auditing purposes. Big objects are typically used for storing large volumes of data, such as hundreds of millions or even billions of records. You need to understand how to compare and contrast the different reasons for implementing Big Objects vs Standard/Custom objects within a production instance, alongside the unique pros and cons of utilizing Big Objects in a Salesforce data model. Data classification can be used to identify unstructured metadata and categorize them based on security controls and risk levels. Defining a data lineage includes specifying the data origin, how data are affected, and how the records move within the lifecycle. Data taxonomy can be used for classifying data into categories and subcategories and using common terminologies. A data dictionary can consist of entity relationship diagrams (ERDs). Various approaches can be utilized for metadata documentation. The next objective is to compare and contrast various techniques, approaches, and considerations for capturing and managing business and technical metadata (for example, business dictionary, data lineage, taxonomy, data classification). It is also important when designing a data model and storing data in Salesforce to ensure that there is sufficient storage space. Picklist fields allow users to select a value from a predefined list of values, which ensures high data quality. External objects can be used to make external data visible in Salesforce. There are various features in Salesforce that support different business processes, such as Person accounts which can be utilized to store information about individual customers. The second objective is related to designing a data model that is scalable and obeys the current security and sharing model. Metadata API can be used to retrieve, deploy, create, update or delete customization information. An entity relationship diagram can be utilized to visualize the data model. A data model typically includes standard and custom objects, relationships among those objects, fields, and other features such as record types. This includes how to use standard and custom objects, standard and custom fields, different types of relationships and object features that are available as part of the platform. The first objective requires you to compare and contrast various techniques for designing a Lightning Platform data model. The data modeling / database design topic is one of two largest sections of the exam. ![]()
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