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Salesforce Certified Data Architect is one of the most sought-after credentials in the Salesforce ecosystem. It is a certification that recognizes individuals who have demonstrated their proficiency in designing, building, and maintaining complex data architectures on the Salesforce platform. Salesforce Certified Data Architect certification validates the knowledge and skills required to lead large-scale data integration projects and create scalable, secure, and efficient data structures.
Salesforce Data-Architect certification is a highly sought-after credential in the IT industry, particularly for professionals who work with Salesforce. Salesforce Certified Data Architect certification demonstrates a professional's proficiency in designing and implementing data solutions that meet the complex needs of modern businesses. Salesforce Certified Data Architect certification exam covers a wide range of topics related to Salesforce data architecture, including data modeling, data integration, data migration, and data governance. It is an advanced certification that requires a deep understanding of Salesforce's data architecture and best practices for managing complex data solutions. Achieving the Salesforce Data-Architect Certification can help professionals advance their careers and increase their earning potential.
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Salesforce Certified Data Architect exam covers a wide range of topics, including data modeling, data migration, data integration, data analysis, and data governance. It is designed to test the candidate's ability to design and implement complex data architectures that meet the needs of a business. Data-Architect Exam consists of multiple-choice questions and scenario-based questions that require the candidate to analyze a given situation and provide the best possible solution.
NEW QUESTION # 33
Universal Containers (UC) is migrating data from legacy system to Salesforce. During data analysis it was discovered that data types of fields being migrated do not match with Salesforce data types.
Which solution should a data architect use to ensure successful data migrations?
Answer: D
Explanation:
According to this article, migrating the legacy data leveraging an ETL tool to transform data types and load data into Salesforce can be a way to ensure successful data migrations. The article states that ETL tools can help with data cleansing, mapping, transformation, and loading, and that they can handle different data types and formats. The article also provides some best practices for data migration, such as identifying the data to migrate, creating templates for the data, preparing the destination org, and validating the data.
NEW QUESTION # 34
Universal Containers (UC) is a major supplier of office supplies. Some products are produced by UC and some by other manufacturers. Recently, a number of customers have complained that product descriptions on the invoices do not match the descriptions in the online catalog and on some of the order confirmations (e.g.,
"ballpoint pen" in the catalog and "pen" on the invoice, and item color labels are inconsistent: "what vs.
"White" or "blk" vs. "Black"). All product data is consolidated in the company data warehouse and pushed to Salesforce to generate quotes and invoices. The online catalog and webshop is a Salesforce Customer Community solution. What is a correct technique UC should use to solve the data inconsistency?
Answer: C
Explanation:
A correct technique UC should use to solve the data inconsistency is to define a data taxonomy for product data and apply the taxonomy to the product data in the data warehouse. A data taxonomy is a hierarchical classification of data entities and attributes that defines their meaning, format, and relationships. A data taxonomy can help ensure consistency, accuracy, and completeness of product data across different systems and channels
NEW QUESTION # 35
UC has millions of case records with case history and SLA dat
a. UC's compliance team would like historical cases to be accessible for 10 years for Audit purpose.
What solution should a data architect recommend?
Answer: D
Explanation:
The best solution to store historical cases for 10 years for audit purpose is to use a custom Big object to store archived case data. Big objects are a type of custom object that can store massive amounts of data on the Salesforce platform without affecting performance or storage limits. They also support point-and-click tools, triggers, and Apex code. Big objects can be used for archiving historical data that needs to be retained for compliance or analytics purposes3. Archiving case data using Salesforce Archiving process is not a good option because it only supports archiving cases that are closed for more than one year, and it does not allow customizing the archival criteria or accessing the archived data via Apex or APIs4. Purchasing more data storage to support case object is expensive and may impact performance. Using a custom object to store archived case data is not scalable and may consume a lot of storage space.
NEW QUESTION # 36
Get Cloud Consulting needs to integrate two different systems with customer records into the Salesforce Account object. So that no duplicate records are created in Salesforce, Master Data Management will be used.
An Architect needs to determine which system is the system of record on a field level.
What should the Architect do to achieve this goal?
Answer: A
Explanation:
Key stakeholders from both systems should collaborate with the Architect to determine which system is the system of record on a field level is what the Architect should do to achieve this goal of integrating two different systems with customer records into the Salesforce Account object using Master Data Management.
The system of record is the authoritative source of truth for a given entity or field in a given context. Different systems may have different levels of accuracy, completeness, timeliness, or relevance for different fields.
Therefore, it is important to involve key stakeholders from both systems who have knowledge and expertise about their data quality and business needs to decide which system should be the system of record for each field. The Architect should facilitate this collaboration and document the decisions and rationale for each field. The other options are not correct or feasible, as they would either delegate or abdicate the responsibility of determining the system of record, ignore or disregard the input from key stakeholders, or assume or impose a default system of record without considering the data quality and business needs.
NEW QUESTION # 37
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: A
NEW QUESTION # 38
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