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| Section | Weight | Objectives |
|---|---|---|
| Large Data Volumes | 20% | - Describe the implications of LDV on data modeling - Describe the considerations for Large Data Volumes (LDV) - Describe the features and best practices for LDV |
| Data Modeling/Database Design | 25% | - Describe the implications of LDV on data modeling - Describe the options and considerations for Large Data Volumes (LDV) - Describe the considerations when designing a data model for Salesforce - Explain the usage of external objects |
| Master Data Management | 5% | - Describe the methods for aligning data across systems - Describe the considerations for a Master Data Management strategy |
| Data Migration | 15% | - Describe the considerations for data migration - Describe the implications of data migration on data quality - Describe the tools and best practices for data migration |
| Data Governance | 10% | - Describe the considerations for data classification - Describe the elements of a data governance framework - Describe the considerations for data quality |
| Salesforce Data Management | 25% | - Describe the considerations for data migration - Describe the implications of LDV on data management - Describe the considerations for data governance - Describe the considerations for data archival |
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NEW QUESTION # 178
Universal Containers wants to automatically archive all inactive Account data that is older than 3 years. The information does not need to remain accessible within the application. Which two methods should be recommended to meet this requirement? Choose 2 answer
Answer: A,C
Explanation:
Both C and D are valid methods to automatically archive and delete inactive Account data that is older than 3 years. You can use an ETL tool or the Data Loader to schedule jobs to export and delete data based on certain criteria.
NEW QUESTION # 179
Universal container (UC) would like to build a Human resources application on Salesforce to manage employee details, payroll, and hiring efforts. To adequately and store the relevant data, the application will need to leverage 45 custom objects. In addition to this, UC expects roughly
20,00 API calls into Salesfoce from an n-premises application daily. Which license type should a data architect recommend that best fits these requirements?
Answer: D
Explanation:
Lightning Platform Plus is the license type that best fits UC's requirements, as it allows up to 50 custom objects and 40,000 API calls per user per 24-hour period. Service Cloud does not provide enough custom objects or API calls. Lightning Platform Start only allows up to 10 custom objects and 5,000 API calls per user per 24-hour period. Lightning External Apps Start is for external users and does not provide enough API calls.
NEW QUESTION # 180
Which three characteristics of a skinny table help improve report and query performance?
Answer: A,B,E
Explanation:
The three characteristics of a Skinny table that help improve report and query performance are:
Skinny tables can contain frequently used fields and thereby help avoid joins. Skinny tables are kept in sync with changes to data in the source tables. Skinny tables do not include records that are available in the recycle bin. These characteristics are beneficial because they reduce the query complexity and execution time, and improve the data accuracy and freshness. For example, skinny tables can contain frequently used fields from multiple objects, such as Account and Contact, and thereby help avoid joins that can slow down queries. Skinny tables are updated automatically when the source tables are modified, so they always reflect the latest data. Skinny tables do not include records that are available in the recycle bin, so they only contain active records that are relevant for reports and queries.
NEW QUESTION # 181
Universal Containers (UC) has an Application custom object, which has tens of millions of records created in the past 5 years. UC needs the last 5 years of data to exist in Salesforce at all times for reporting and queries. UC is currently encountering performance issues when reporting and running queries on this Object using date ranges as filters. Which two options can be used to improve report performance?
Answer: B,C
Explanation:
Ask support to create a skinny table for Application with the necessary reporting fields. This is an option that can improve report performance by creating a custom table that contains frequently used fields and copies their values from standard or custom objects. Skinny tables are kept in sync with their source tables and are used in place of them for reports and queries. Add custom indexes to the Date fields used for filtering the report. This is another option that can improve report performance by creating custom indexes on fields that are often used as filters or join conditions in reports and queries. Custom indexes can speed up data retrieval and reduce query execution time
NEW QUESTION # 182
Northern Trail Outfitters (NTO) wants to capture a list of customers that have bought a particular product. The solution architect has recommended to create a custom object for product, and to create a lookup relationship between its customers and its products.
Products will be modeled as a custom object (NTO_ Product__ c) and customers are modeled as person accounts. Every NTO product may have millions of customers looking up a single product, resulting in a lookup skew.
What should a data architect suggest to mitigate Issues related to lookup skew?
Answer: C
Explanation:
Creating multiple similar products and distributing the skew across those products can be a way to mitigate issues related to lookup skew. The article explains that lookup skew happens when a very large number of records are associated with a single record in the lookup object, and this can cause record locking and performance issues. The article suggests creating multiple copies of the same product record and assigning different child records to each copy, so that the number of child records per parent record is reduced.
NEW QUESTION # 183
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