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Salesforce Data-Architect certification exam is a two-part exam that evaluates a professional's knowledge and skills in designing and building complex data architectures in Salesforce. The first part of the exam focuses on data modeling, data architecture, and data integration. The second part of the exam evaluates a professional's expertise in data governance, data quality, and data security. Salesforce Certified Data Architect certification exam is intended for professionals who have experience in data architecture, data modeling, data integration, and data management with the Salesforce platform.
Salesforce Data-Architect Certification provides numerous benefits. Firstly, it validates your expertise in the Salesforce platform and data architecture. Salesforce Certified Data Architect certification is widely recognized in the industry and opens doors to career advancement opportunities. Additionally, certification ensures that you have a deep understanding of the best practices for data management and data modeling in Salesforce, which can result in improved efficiencies and better decision-making for your organization.
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Salesforce Data-Architect (Salesforce Certified Data Architect) exam is designed for professionals who specialize in data architecture and management within the Salesforce ecosystem. Salesforce Certified Data Architect certification validates the knowledge and skills required for designing and implementing scalable, efficient, and secure data solutions using the Salesforce platform. Data-Architect Exam covers a wide range of topics, including data modeling, data integration, data migration, data governance, and data security.
NEW QUESTION # 204
Universal Container has implemented Sales Cloud to manage patient and related health records. During a recent security audit of the system, it was discovered that same standard and custom fields need to encrypted.
Which solution should a data architect recommend to encrypt existing fields?
Answer: A
Explanation:
The correct answer is C, implement shield platform encryption to encrypt standard and custom fields. Shield platform encryption is a feature that allows you to encrypt sensitive data at rest in Salesforce without affecting its functionality. You can encrypt both standard and custom fields using shield platform encryption. Using Apex Crypto Class, implementing classic encryption, or exporting data out of Salesforce are not recommended solutions, as they will either limit your functionality, require custom code, or compromise your data security.
NEW QUESTION # 205
Universal Containers (UC) has a Salesforce org with multiple automated processes defined for group membership processing, UC also has multiple admins on staff that perform manual adjustments to the role hierarchy. The automated tasks and manual tasks overlap daily, and UC is experiencing "lock errors" consistently.
What should a data architect recommend to mitigate these errors?
Answer: C
Explanation:
Enabling granular locking (option A) is the best recommendation to mitigate these errors, as it allows finer control over how records are locked during automated or manual processes, and reduces the chances of lock contention or deadlock. Removing SOQL statements from Apex Loops (option B) is a good practice for improving performance and avoiding governor limits, but it does not directly address the lock errors issue. Enabling sharing recalculations (option C) is also not relevant for this issue, as it is used to update sharing rules and recalculate access for records. Asking Salesforce support for additional CPU power (option D) is also not a viable solution, as it does not solve the root cause of the lock errors.
NEW QUESTION # 206
A large telecommunication provider that provides internet services to both residence and business has the following attributes:
A customer who purchases its services for their home will be created as an Account in Salesforce.
Individuals within the same house address will be created as Contact in Salesforce.
Businesses are created as Accounts in Salesforce.
Some of the customers have both services at their home and business.
What should a data architect recommend for a single view of these customers without creating multiple customer records?
Answer: A
Explanation:
Creating customers as Contacts and relating them to Business and Residential Accounts using the Account Contact Relationships (option A) is the best option to recommend for a single view of these customers without creating multiple customer records, as it allows the data architect to model complex relationships between customers and accounts using native Salesforce features and tools. Creating customers as Person Accounts and relating them to Business and Residential Accounts using the Account Contact relationship (option B) is not a good option, as it may create data redundancy and inconsistency, and it does not leverage the existing Contact object. Creating customers as individual objects and relating them with Accounts for Business and Residence accounts (option C) is also not a good option, as it may require more customization and maintenance effort, and it does not leverage the existing Account and Contact objects. Creating customers as Accounts for Residence Account and using Parent Account to relate Business Account (option D) is also not a good option, as it may create confusion and complexity with the account hierarchy, and it does not leverage the existing Contact object.
NEW QUESTION # 207
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
NEW QUESTION # 208
Which three characteristics of a skinny table help improve report and query performance?
Answer: B,C,E
Explanation:
The three characteristics of a Skinny table that help improve report and query performance are: Skinny tables can contain frequently used fields and thereby help avoid joins. Skinny tables are kept in sync with changes to data in the source tables. Skinny tables do not include records that are available in the recycle bin. These characteristics are beneficial because they reduce the query complexity and execution time, and improve the data accuracy and freshness. For example, skinny tables can contain frequently used fields from multiple objects, such as Account and Contact, and thereby help avoid joins that can slow down queries 4 . Skinny tables are updated automatically when the source tables are modified, so they always reflect the latest data 5 .
Skinny tables do not include records that are available in the recycle bin, so they only contain active records that are relevant for reports and queries.
NEW QUESTION # 209
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