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| Section | Weight | Objectives |
|---|---|---|
| Data Governance | 20% | - Data quality standards and metrics - Compliance and regulatory considerations - Data stewardship roles and responsibilities - Data retention and archiving policies |
| Data Modeling | 25% | - Skinny tables for performance optimization - Big Objects and external objects - Large Data Volumes (LDV) design considerations - Normalization and denormalization strategies - Indexing strategies |
| Data Architecture | 20% | - Architecture patterns and design principles - Archiving and data lifecycle management - Governor limits and bulk processing - Performance tuning and optimization |
| Master Data Management | 20% | - Identity resolution - Data duplication and matching rules - Data cleansing techniques |
| Data Integration | 15% | - ETL tools and data migration strategies - API-based integration (REST, SOAP, Bulk API) - Sharing rules impact on data integration - Handling locks and parallelism during migration - Real-time vs batch integration patterns |
>> Data-Architect New Dumps Questions <<
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NEW QUESTION # 72
Which two aspects of data does an Enterprise data governance program aim to improve?
Answer: A,B
Explanation:
Data integrity and data usability are two aspects of data that an Enterprise data governance program aims to improve. Data integrity refers to the accuracy, consistency, and validity of the data across the enterprise2. Data usability refers to the ease of access, analysis, and interpretation of the data by the end users
NEW QUESTION # 73
Universal Container (UC) has around 200,000 Customers (stored in Account object). They get 1 or 2 Orders every month from each Customer. Orders are stored in a custom object called "Order c"; this has about 50 fields. UC is expecting a growth of 10% year -over -year. What are two considerations an architect should consider to improve the performance of SOQL queries that retrieve data from the Order _c object? Choose 2 answers
Answer: B,C
Explanation:
To improve the performance of SOQL queries that retrieve data from the Order_c object, the data architect should work with Salesforce Support to enable Skinny Tables and make the queries more selective using indexed fields. Skinny Tables are custom tables that contain frequently used fields and are kept in sync with the base tables3. They can improve performance by reducing the number of table joins and using indexes. Making the queries more selective using indexed fields can also improve performance by reducing the query execution time and avoiding query timeouts4. The other options are not effective or recommended for improving SOQL performance.
NEW QUESTION # 74
An architect is planning on having different batches to load one million Opportunities into Salesforce using the Bulk API in parallel mode. What should be considered when loading the Opportunity records?
Answer: D
Explanation:
Ordering batches by Auto-number field will ensure that the records are processed in a sequential order and avoid any locking issues that might occur when loading related records in parallel mode. Creating indexes, grouping batches by AccountId, or sorting batches by Name field values are not necessary or beneficial for loading Opportunity records using the Bulk API.
NEW QUESTION # 75
Universal Containers is establishing a call center that will use Salesforce. UC receives 10 million calls and creates 100 million cases every month. Cases are linked to a custom call object using lookup relationship. UC would like to run reports and dashboard to better understand different case types being created on calls to better serve customers.
What solution should a data architect recommend to meet the business requirement?
Answer: A
Explanation:
According to this article, big objects can store and manage massive amounts of data on the Salesforce platform. This can help UC to archive records from other objects or bring massive datasets from outside systems into a big object. According to this article, Einstein Analytics can be used to create dashboards and lenses to analyze big object data and get insights from advanced AI-driven analytics.
NEW QUESTION # 76
A company wants to document the data architecture of a Salesforce organization.
What are two valid metadata types that should be included? (Choose two.)
Answer: A,C
Explanation:
Option A is correct because RecordType is a valid metadata type that should be included in documenting the data architecture of a Salesforce organization 1 . RecordType defines different business processes, picklist values, and page layouts for different users 2 . Option C is correct because CustomField is another valid metadata type that should be included in documenting the data architecture of a Salesforce organization 1
. CustomField defines custom attributes for standard or custom objects 3 . Option B is not correct because Document is not a valid metadata type, but a standard object that stores documents in folders 4 . Option D is not correct because SecuritySettings is not a valid metadata type, but a setup menu that allows administrators to configure various security features such as password policies, network access, session settings, etc.
NEW QUESTION # 77
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