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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Governance | 10% | - Describe the considerations for data quality - Describe the elements of a data governance framework - Describe the considerations for data classification |
| Topic 2: Master Data Management | 5% | - Describe the considerations for a Master Data Management strategy - Describe the methods for aligning data across systems |
| Topic 3: Salesforce Data Management | 25% | - Describe the implications of LDV on data management - Describe the considerations for data migration - Describe the considerations for data governance - Describe the considerations for data archival |
| Topic 4: Large Data Volumes | 20% | - Describe the implications of LDV on data modeling - Describe the features and best practices for LDV - Describe the considerations for Large Data Volumes (LDV) |
| Topic 5: Data Migration | 15% | - Describe the tools and best practices for data migration - Describe the considerations for data migration - Describe the implications of data migration on data quality |
| Topic 6: Data Modeling/Database Design | 25% | - Explain the usage of external objects - Describe the implications of LDV on data modeling - Describe the considerations when designing a data model for Salesforce - Describe the options and considerations for Large Data Volumes (LDV) |
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NEW QUESTION # 160
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: A
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 # 161
NTO has multiple systems across its enterprise landscape including salesforce, with disparate version the customer records.
In salesforce, the customer is represented by the contact object.
NTO utilizes an MDM solution with these attributes:
1. The MDM solution keeps track of customer master with a master key.
2. The master key is a map to the record ID's from each external system that customer data is stored within.
3. The MDM solution provides de-duplication features, so it acts as the single source of truth.
How should a data architect implement the storage of master key within salesforce?
Answer: A
Explanation:
The best way to implement the storage of master key within Salesforce is to store it on the contact object as an external ID field for referential imports. This way, the data architect can use the master key as a unique identifier to match records from different systems and avoid duplicates. The other options are not feasible because they either require additional storage or do not support referential imports.
NEW QUESTION # 162
A customer wishes to migrate 700,000 Account records in a single migration into Salesforce.
What is the recommended solution to migrate these records while minimizing migration time?
Answer: A
Explanation:
Using Salesforce Bulk API in parallel mode can reduce the migration time by processing multiple batches of records simultaneously and leveraging the server resources more efficiently. The Bulk API is designed for loading large amounts of data into Salesforce
NEW QUESTION # 163
Universal Containers (UC) has deployed Salesforce to manage Marketing. Sales, and Support efforts in a multi-system ERP environment After reaching the limits of native reports & dashboards. UC leadership is looking to understand what options can be used to provide more analytical insights. What two approaches should an architect recommend? Choose 2 answer
Answer: C,D
Explanation:
According to the exam guide, one of the objectives is to "describe the use cases and considerations for using AppExchange apps and Wave Analytics". This implies that options A and B are both valid approaches to provide more analytical insights.
NEW QUESTION # 164
UC has a variety of systems across its technology landscape, including SF, legacy enterprise resource planning (ERP) applications and homegrown CRM tools. UC has decided that they would like to consolidate all customer, opportunity and order data into Salesforce as part of its master data management (MDM) strategy. What are the 3 key steps that a data architect should take when merging data from multiple systems into Salesforce? Choose 3 answer
Answer: A,B,E
Explanation:
The three key steps that a data architect should take when merging data from multiple systems into Salesforce are:
Analyze each system's data model and perform gap analysis. This step involves understanding the structure and meaning of the data in each system, identifying the common and unique data elements, and mapping the data fields between the systems. This step also involves assessing the quality and consistency of the data, and identifying any data cleansing or transformation needs.
Utilize an ETL tool to merge, transform, and de-duplicate data. This step involves using an ETL tool to connect to the source systems, extract the data, apply any data transformations or validations, and load the data into Salesforce. This step also involves applying de-duplication rules or algorithms to avoid creating duplicate records in Salesforce.
Work with stakeholders to define record and field survivorship rules. This step involves collaborating with the business users and owners of the data to determine which records and fields should be retained or overwritten in case of conflicts or discrepancies. This step also involves defining the criteria and logic for record and field survivorship, and implementing them in the ETL tool or in Salesforce.
Creating new fields to store additional values from all the systems is not a key step, but rather a possible outcome of the gap analysis. It may not be necessary or desirable to create new fields for every value from every system, as it may result in redundant or irrelevant data. Installing a 3rd party AppExchange tool to handle the merger is not a key step, but rather a possible option for choosing an ETL tool. It may not be the best option depending on the requirements, budget, and preferences of the organization.
NEW QUESTION # 165
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