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In today's competitive Salesforce industry, only the brightest and most qualified candidates are hired for high-paying positions. Obtaining Data-Architect certification is a wonderful approach to be successful because it can draw in prospects and convince companies that you are the finest in your field. Pass the Salesforce Certified Data Architect to establish your expertise in your field and receive certification. However, passing the Salesforce Certified Data Architect Data-Architect Exam is challenging.
Salesforce Data-Architect Exam is a challenging exam that requires a significant amount of preparation and study. To pass the exam, individuals need to have a deep understanding of the Salesforce platform, its data-related features, and best practices for designing and implementing data solutions. Data-Architect exam is composed of multiple-choice questions and scenarios, and individuals have three hours to complete it. Once an individual passes the exam, they will become a Salesforce Certified Data Architect, which is a valuable certification that demonstrates expertise in data architecture on the Salesforce platform.
To become a Salesforce Certified Data Architect, candidates must have a solid understanding of the Salesforce platform, database architecture, data modeling, and data management. They must also have experience in designing and implementing data solutions that meet specific business requirements while ensuring data quality, security, and compliance. Data-Architect Exam covers topics such as data modeling, data integration, data quality, data security, and data governance, among others.
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NEW QUESTION # 125
DreamHouse Realty has a data model as shown in the image. The Project object has a private sharing model, and it has Roll-Up summary fields to calculate the number of resources assigned to the project, total hours for the project, and the number of work items associated to the project.
There will be a large amount of time entry records to be loaded regularly from an external system into Salesforce.
What should the Architect consider in this situation?
Answer: A
Explanation:
According to the exam guide, one of the objectives is to "describe the use cases and considerations for deferring sharing calculations"1. This implies that option A is the correct way to load large amounts of data into Salesforce without affecting performance and data integrity. Deferring sharing calculations allows the data to be loaded first and then the sharing rules to be applied later2. Option B is not correct because workflows are not recommended for calculating summary values, as they can cause performance issues and data skew3. Option C is not correct because triggers are also not recommended for calculating summary values, as they can cause governor limit errors and data inconsistency. Option D is not correct because external IDs are used to link records from different systems, not to improve data loading performance.
NEW QUESTION # 126
Northern trail Outfitters (NTO) runs its entire out of an enterprise data warehouse (EDW), NTD's sales team starting to use Salesforce after a recent implementation, but currently lacks data required to advanced and opportunity to the next stage.
NTO's management has research Salesforce Connect and would like to use It to virtualize and report on data from the EDW within Salesforce. NTO will be running thousands of reports per day across 10 to 15 external objects.
What should a data architect consider before implementing Salesforce Connect for reporting?
Answer: B
Explanation:
According to the Salesforce Connect Reporting blog post, one of the considerations for using Salesforce Connect for reporting is the OData callout limits per day. The blog post states that "Salesforce Connect has a limit of 100,000 callouts per day. This limit is shared across all external data sources in your org. If you exceed this limit, you will receive an error message and no more callouts will be allowed until the next day." Therefore, a data architect should consider this limit before implementing Salesforce Connect for reporting.
NEW QUESTION # 127
A shipping and logistics company has created a large number of reports within Sales Cloud since Salesforce was introduced. Some of these reports analyze large amounts of data regarding the whereabouts of the company's containers, and they are starting to time out when users are trying to run the reports. What is a recommended approach to avoid these time-out issues?
Answer: B
Explanation:
Improving reporting performance by replacing the existing reports in Sales Cloud with new reports based on Analytics Cloud can avoid the time-out issues by leveraging the power and scalability of Analytics Cloud.
Analytics Cloud can handle large volumes of data and provide faster and more interactive reports than Sales Cloud .
NEW QUESTION # 128
Northern Trail Outfitters < NTO > is streaming IoT data from connected devices to a cloud database. Every
24 hours. 100,000 records are generated.
NIO employees will need to see these lol records within Salesforce and generate weekly reports on it.
Developers may also need to write programmatic logic to aggregate the records and incorporate them into workflows.
Which data pattern will allow a data architect to satisfy these requirements, while also keeping limits in mind?
Answer: A
Explanation:
Persistence is the data pattern that will allow a data architect to satisfy the requirements, while also keeping limits in mind. Persistence means storing data from external sources in Salesforce objects, either standard or custom. This allows you to access the data within Salesforce and use it for reporting, analytics, workflows, and other features. Persistence also helps you avoid hitting API limits or performance issues when accessing large volumes of data from external systems. You can use various tools such as Data Loader, Bulk API, or Platform Events to persist IoT data from connected devices to a cloud database in Salesforce.
NEW QUESTION # 129
Universal Containers has a large number of Opportunity fields (100) that they want to track field history on. Which two actions should an architect perform in order to meet this requirement? Choose 2 answers
Answer: A,C
Explanation:
Creating a custom object to store a copy of the record when changed and creating a custom object to store the previous and new field values are two possible actions that an architect can perform to meet the requirement of tracking field history on 100 Opportunity fields. A custom object can store more fields and records than the standard field history tracking feature, which has a limit of 20 fields per object and 18 or 24 months of data retention. A custom object can also be used for reporting and analysis of field history data. The other options are not feasible or effective for meeting the requirement
NEW QUESTION # 130
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