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To prepare for the Salesforce Certified Data Architect exam, candidates should have a strong understanding of Salesforce data management concepts, as well as experience working with various Salesforce data tools and technologies. They should also be familiar with industry-standard data modeling and database design principles, and have a good understanding of data integration and security best practices. With the right preparation and a solid understanding of the exam content, candidates can successfully pass the Salesforce Certified Data Architect exam and take their career to the next level.
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Salesforce Data-Architect (Salesforce Certified Data Architect) Exam is a highly sought-after certification for professionals working in the Salesforce ecosystem. Data-Architect exam is designed to test a candidate's knowledge and expertise in designing and implementing complex data solutions on the Salesforce platform. Salesforce Certified Data Architect certification emphasizes the importance of data modelling, data governance, data integration, and data migration in Salesforce.
To prepare for the Salesforce Data-Architect certification exam, you should have a good understanding of Salesforce data architecture, database design, data modeling, data integration, and data management. You should also have experience in designing and implementing data solutions in Salesforce, using tools such as Salesforce Connect, Salesforce Data Loader, and Salesforce Workbench. Salesforce offers several training courses and resources to help you prepare for the certification exam, including Trailhead modules, instructor-led training, and self-paced online learning.
NEW QUESTION # 98
NTO has implemented salesforce for its sales users. The opportunity management in salesforce is implemented as follows:
1.Sales users enter their opportunities in salesforce for forecasting and reporting purposes.
2.NTO has a product pricing system (PPS) that is used to update opportunity amount field on opportunities on a daily basis.
3.PPS is the trusted source within the NTO for opportunity amount.
4.NTO uses opportunity forecast for its sales planning and management.
Sales users have noticed that their updates to the opportunity amount field are overwritten when PPS updates their opportunities.
How should a data architect address this overriding issue?
Answer: D
Explanation:
Changing the opportunity amount field access to read only for sales users using field level security is the best way to address the overriding issue. This way, the sales users can still view the opportunity amount field but cannot edit it, and PPS can update it as the trusted source
NEW QUESTION # 99
Universals Containers' system administrators have been complaining that they are not able to make changes to its users' record, including moving them to new territories without getting "unable to lock row" errors. This is causing the system admins to spend hours updating user records every day.
What should the data architect do to prevent the error?
Answer: C
NEW QUESTION # 100
Universal Containers (UC) is implementing its new Internet of Things technology, which consists of smart containers that provide information on container temperature and humidity updated every 10 minutes back to UC. There are roughly 10,000 containers equipped with this technology with the number expected to increase to 50,000 across the next five years. It is essential that Salesforce user have access to current and historical temperature and humidity data for each container. What is the recommended solution?
Answer: C
Explanation:
The recommended solution for Universal Containers (UC) to implement its new Internet of Things technology is to create a new Container Reading custom object with a master-detail relationship to Container which is created when a new measure is received for a specific container. Implement an archiving process that runs every hour. This solution would allow UC to store and access current and historical temperature and humidity data for each container on Salesforce, and use reports and dashboards to analyze it. However, since UC expects a large volume of data over time, they should implement an archiving process that moves data off-platform after a certain period of time to avoid hitting the Org data storage limit and maintain optimal performance. The other options are not recommended, as they would either not store the historical data on Salesforce, or create too many custom fields on the Container object that could impact performance and usability.
NEW QUESTION # 101
Get Cloudy Consulting needs to evaluate the completeness and consistency of contact information in Salesforce. Their sales reps often have incomplete information about their accounts and contacts. Additionally, they are not able to interpret the information in a consistent manner. Get Cloudy Consulting has identified certain ""key"" fields which are important to their sales reps.
What are two actions Get Cloudy Consulting can take to review their data for completeness and consistency?
(Choose two.)
Answer: A,B
Explanation:
Running a report that shows the last time the key fields were updated can help Get Cloudy Consulting identify stale or outdated data and prioritize data cleansing activities. Running a report that shows the percentage of blanks for the important fields can help Get Cloudy Consulting measure the completeness of their data and identify gaps or missing value
NEW QUESTION # 102
UC has multiple SF orgs that are distributed across regional branches. Each branch stores local customer data inside its org's Account and Contact objects. This creates a scenario where UC is unable to view customers across all orgs.
UC has an initiative to create a 360-degree view of the customer, as UC would like to see Account and Contact data from all orgs in one place.
What should a data architect suggest to achieve this 360-degree view of the customer?
Answer: A
Explanation:
Consolidating the data from each org into a centralized datastore is the best suggestion to achieve a 360-degree view of the customer. This way, UC can have a single source of truth for all customer data and avoid data silos and inconsistencies. The other options are not feasible because they either require complex integration, additional cost, or data duplication.
NEW QUESTION # 103
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