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Salesforce Data-Architect is a highly regarded certification that is recognized globally. It is designed for professionals who specialize in data architecture and management within the Salesforce platform. Salesforce Certified Data Architect certification is known for its rigorous testing and evaluation process, making it a highly sought-after credential in the industry.
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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.
NEW QUESTION # 93
Northern Trail Outfitters (NTO) wants to implement backup and restore for Salesforce data, Currently, it has data backup processes that runs weekly, which back up all Salesforce data to an enterprise data warehouse (EDW). NTO wants to move to daily backups and provide restore capability to avoid any data loss in case of outage.
What should a data architect recommend for a daily backup and restore solution?
Answer: A
NEW QUESTION # 94
Due to security requirements, Universal Containers needs to capture specific user actions, such as login, logout, file attachment download, package install, etc. What is the recommended approach for defining a solution for this requirement?
Answer: B
Explanation:
Event Monitoring is a feature that allows you to track user actions, such as logins, logouts, downloads, etc., in your Salesforce org. You can use Event Monitoring to monitor performance, usage, security, and compliance
NEW QUESTION # 95
Universal Containers has a requirement to store more than 100 million records in salesforce and needs to create a custom big object to support this business requirement.
Which two tools should a data architect use to build custom object?
Answer: A,B
Explanation:
To build a custom big object to support storing more than 100 million records in Salesforce, a data architect should use Metadata API or Big Object in setup. Metadata API is an API that allows developers to create, retrieve, update, or delete metadata components in Salesforce programmatically. Big Object in setup is a user interface that allows admins to create big objects declaratively without writing code. Both tools can be used to define custom big objects and their fields, indexes, and relationships in Salesforce. Option A is incorrect because DX (Developer Experience) is a set of tools that allows developers to create and manage applications on Salesforce Platform, but it does not support creating big objects directly. Option D is incorrect because Object Manager in setup is a user interface that allows admins to create and manage standard and custom objects in Salesforce, but it does not support creating big objects declaratively.
NEW QUESTION # 96
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: B
NEW QUESTION # 97
Northern Trail Outfitters is concerned because some of its data is sensitive and needs to be identified for access.
What should be used to provide ways to filter and identify the sensitive data?
Answer: C
Explanation:
According to the official Salesforce guide 1 , data classification metadata is a feature that allows administrators to classify data fields based on their sensitivity level, such as confidential, restricted, or general. Data classification metadata can be used to filter and identify sensitive data fields and apply appropriate security measures, such as encryption, masking, or auditing. Option D is the correct answer because it suggests using data classification metadata to provide ways to filter and identify sensitive data.
Option A is incorrect because data grouping metadata is not a feature in Salesforce. Option B is incorrect because field-level security is a feature that controls the visibility and editability of fields based on user profiles or permission sets, but it does not provide ways to filter and identify sensitive data. Option C is incorrect because creating a custom checkbox denoting sensitive data is not a scalable or reliable solution, as it requires manual maintenance and does not enforce any security measures.
NEW QUESTION # 98
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