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Salesforce Data-Architect Certification Exam is designed to validate the skills and knowledge required to design and implement data architecture and management strategies on the Salesforce platform. It is a highly sought-after certification for professionals who work with Salesforce data and have expertise in data modeling, data integration, data migration, and data governance. Data-Architect exam is intended for those who have a deep understanding of the Salesforce platform and can create innovative solutions to complex business problems.
Salesforce Data-Architect certification is a valuable credential for professionals who work with Salesforce data. It demonstrates expertise in data architecture and design principles and validates the ability to design, develop, and implement data solutions using the Salesforce platform. To earn this certification, candidates must pass a challenging exam that covers a wide range of topics related to data architecture and design. With proper preparation, candidates can successfully earn this certification and enhance their career opportunities in the Salesforce ecosystem.
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Salesforce Data-Architect (Salesforce Certified Data Architect) Exam is a certification exam that focuses on testing an individual's knowledge and skills in designing and managing complex data architectures on the Salesforce platform. Data-Architect exam is designed for individuals who have a deep understanding of Salesforce data management concepts, data modeling, and architecture principles. Passing Data-Architect Exam demonstrates a candidate's ability to design and implement complex data solutions on the Salesforce platform.
NEW QUESTION # 176
A large insurance provider is looking to implement Salesforce. The following exist.
1. Multiple channel for lead acquisition
2. Duplication leads across channels
3. Poor customer experience and higher costs
On analysis, it found that there are duplicate leads that are resulting to mitigate the issues?
Answer: B,C,D
NEW QUESTION # 177
Universal Containers (UC) management has identified a total of ten text fields on the Contact object as important to capture any changes made to these fields, such as who made the change, when they made the change, what is the old value, and what is the new value. UC needs to be able to report on these field data changes within Salesforce for the past 3 months. What are two approaches that will meet this requirement? Choose 2 answers
Answer: B,D
NEW QUESTION # 178
Northern Trail Outfitter has implemented Salesforce for its associates nationwide, Senior management is concerned that the executive dashboard is not reliable for their real-time decision-making. On analysis, the team the following issues with data entered in Salesforce.
Information in certain records is incomplete.
Incorrect entry in certain fields causes records to be excluded in report fitters.
Duplicate entries cause incorrect counts.
Which three steps should a data architect recommend to address the issues?
Answer: B,D,E
Explanation:
According to the Salesforce documentation3, data quality is the measure of how well the data in Salesforce meets the expectations and requirements of the users and stakeholders. Data quality can be affected by various factors, such as data entry errors, data duplication, data inconsistency, data incompleteness, data timeliness, etc. To address the issues with data quality that affect the reliability of executive dashboards, a data architect should recommend:
Building a sales data warehouse with purpose-built data marts for dashboards and senior management reporting (option B). This means creating a separate database or system that stores and organizes sales data from Salesforce and other sources for analytical purposes. A data warehouse can provide a single source of truth for sales data and enable faster and more accurate reporting and analysis. A data mart is a subset of a data warehouse that focuses on a specific subject or business area, such as sales performance, customer segmentation, product profitability, etc. A data mart can provide tailored and relevant data for different users or groups based on their needs and interests.
Exploring third-party data providers to enrich and augment information entered in Salesforce (option C).
This means using external services or tools that can validate, correct, update, and enhance the data that is entered or imported into Salesforce. This can help improve data quality and accuracy, and reduce data duplication and incompleteness.
Leveraging Salesforce features, such as validation rules, to avoid incomplete and incorrect records (option D). This means using features that allow defining rules and criteria to validate the data that is entered or updated by the users or integrations. This can help prevent invalid or incorrect data from being saved, and trigger actions or alerts to correct or improve the data.
Periodically exporting data to cleanse data and import them back into Salesforce for executive reports (option A) is not a good solution, as it can be time-consuming, error-prone, and inefficient. It may also cause data inconsistency and synchronization issues between Salesforce and other systems. Designing and implementing data-quality dashboard to monitor and act on records that are incomplete or incorrect (option E) is also not a good solution, as it can be complex, costly, and difficult to maintain. It may also not address the root causes of data quality issues or prevent them from occurring in the first place.
NEW QUESTION # 179
Northern Trail Outfitters (NTO) has recently implemented Salesforce to track opportunities across all their regions. NTO sales teams across all regions have historically managed their sales process in Microsoft Excel.
NTO sales teams are complaining that their data from the Excel files were not migrated as part of the implementation and NTO is now facing low Salesforce adoption.
What should a data architect recommend to increase Salesforce adoption?
Answer: A
Explanation:
According to Trailhead2, one of the best practices to increase Salesforce adoption is to migrate existing data from legacy systems or spreadsheets into Salesforce, so that users can access all their data in one place and leverage the features and functionality of Salesforce. Option B is the correct answer because it suggests defining a standard mapping and training sales users to import opportunity data from Excel files into Salesforce, which can help them transition from their old process and increase their confidence and satisfaction with Salesforce. Option A is incorrect because using the Excel connector to Salesforce does not migrate the data into Salesforce, but only syncs it between Excel and Salesforce, which can cause data inconsistency and duplication issues. Option C is incorrect because loading data in an external database and providing access to it does not increase Salesforce adoption, but rather creates another system for users to manage and switch between. Option D is incorrect because creating a chatter group and uploading all Excel files to it does not migrate the data into Salesforce, but only stores it as attachments, which cannot be used for reporting or analysis purposes.
NEW QUESTION # 180
Universal Containers has a legacy system that captures Conferences and Venues. These Conferences can occur at any Venue. They create hundreds of thousands of Conferences per year. Historically, they have only used 20 Venues. Which two things should the data architect consider when denormalizing this data model into a single Conference object with a Venue picklist? Choose 2 answers
Answer: C,D
NEW QUESTION # 181
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