Universal Containers (UC) requires 2 years of customer related cases to be available on SF for operational reporting. Any cases older than 2 years and upto 7 years need to be available on demand to the Service agents. UC creates 5 million cases per yr.
Which 2 data archiving strategies should a data architect recommend? Choose 2 options:

A customer monitors over 10,000 servers and these servers automatically record their status every 15 minutes The customer is required to maintain all of these status reports for a period of 10 years. Service Reps need access to up to one week's worth of these status reports with all of their details. What are two limits an architect should consider when recommending what data should be integrated into Salesforce and for how long it should be stored in Salesforce?
Choose 2 answers

Universal Containers is integrating a new Opportunity engagement system with Salesforce.
According to their Master Data Management strategy, Salesforce is the system of record for Account, Contact, and Opportunity data. However, there does seem to be valuable Opportunity data in the new system that potentially conflicts with what is stored in Salesforce. What is the recommended course of action to appropriately integrate this new system?

Universal Containers (UC) loads bulk leads and campaigns from third-party lead aggregators on a weekly and monthly basis. The expected lead record volume is 500K records per week, and the expected campaign records volume is 10K campaigns per week. After the upload, Lead records are shared with various sales agents via sharing rules and added as Campaign members via Apex triggers on Lead creation. UC agents work on leads for 6 months, but want to keep the records in the system for at least 1 year for reference. Compliance requires them to be stored for a minimum of 3 years. After that, data can be deleted. What statement is true with respect to a data archiving strategy for UC?

Northern Trail Outfitters has implemented Salesforce for its sales associates nationwide. Senior management is concerned that the executive dashboards are not reliable for their real-time decision-making. On analysis, the team found the following issues with data entered in Salesforce:
1. Information in certain records is incomplete.
2. Incorrect entry in certain fields causes records to be excluded in report filters.
3. Duplicate entries cause incorrect counts.
Which three steps should a data architect recommend to address the issues? (Choose three.)