Salesforce Plat-Arch-201 Sample Questions Pdf, Valid Plat-Arch-201 Exam Dumps

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Salesforce Plat-Arch-201 Exam Syllabus Topics:

Section	Weight	Objectives
Large Data Volumes and Performance	20%	- Storage and scalability planning 1. Data volume growth planning and storage limits - Query and performance optimization 1. Indexing, selective queries and avoiding performance bottlenecks - LDV architecture design 1. Data distribution, archiving and partitioning strategies
Data Governance, Quality and Security	15%	- Data security and compliance 1. Access control, encryption, compliance and audit - Data quality management 1. Profiling, monitoring, cleansing and enrichment - Data governance framework 1. Policies, standards, ownership and stewardship
Data Migration	15%	- Migration strategy and planning 1. Assessment, mapping, validation and rollback planning - Migration execution and tools 1. Data loader, ETL tools and bulk API usage - Data quality and validation 1. Cleaning, deduplication and post-migration verification
Data Integration	20%	- External data sources 1. External Objects, OData and virtual data access - Data synchronization and consistency 1. Conflict resolution, data consistency and idempotency - Integration patterns and technologies 1. Synchronous vs asynchronous, batch vs real-time 2. APIs, middleware and external systems integration
Master Data Management	5%	- Golden record and system of truth 1. Establishing single source of truth in single org - MDM implementation approaches 1. Harmonization, consolidation, survivorship rules and thresholds 2. Canonical modeling and hierarchy management
Data Modeling and Database Design	25%	- Object type selection 1. Standard/custom objects vs Big Objects: use cases, pros and cons - Data skew prevention 1. Avoid record locking, sharing issues and excessive parent-child relationships - Metadata management 1. Business dictionary, data lineage, taxonomy and classification - Data model design for Customer 360 1. Scalable design aligned with security and sharing model 2. Objects, fields, relationships and object features

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Salesforce Certified Platform Data Architect Sample Questions (Q89-Q94):

NEW QUESTION # 89
What makes Skinny tables fast? Choose three answer

A. They can contain fields from other objects
B. They avoid resource intensive joins
C. They support up to a max of 100 of columns
D. They do not include soft-deleted records
E. Their tables are kept in sync with their source tables when the source tables are modified

Answer: B,D,E

Explanation:
Skinny tables are custom tables that contain frequently used fields from a standard or custom object. They are used to improve performance by reducing the number of database joins required for queries. Skinny tables have the following characteristics:
They do not include soft-deleted records, which means they only contain active records and save space.
They avoid resource intensive joins by storing data from multiple objects in one table, which reduces the query time and complexity.
Their tables are kept in sync with their source tables when the source tables are modified, which ensures data consistency and accuracy.

NEW QUESTION # 90
Which factor impacts query selectivity the most?

A. Number of records returned
B. Number of fields
C. Page layout
D. UI layout

Answer: A

Explanation:
Selectivity depends on how many records match the filter.

NEW QUESTION # 91
Universal Containers has provided a web order form for its customer and has noticed invalid data coming in on orders. What should be used to mitigate this problem?

A. Formatted Fields
B. Apex Trigger
C. Work Flow Rules
D. Validation Rules

Answer: D

Explanation:
Using validation rules to mitigate this problem is the best option. Validation rules can help you prevent invalid data from being entered in your web order form. You can use validation rules to check for data quality, format, range, or consistency. For example, you can use validation rules to ensure that the order quantity is positive, the product code is valid, or the shipping address is complete.

NEW QUESTION # 92
NTO has a loyalty program to reward repeat customers. The following conditions exists:
1. Reward levels are earned based on the amount spent during the previous 12 months.
2. The program will track every item a customer has bought and grant them points for discount.
3. The program generates 100 million records each month.
NTO customer support would like to see a summary of a customer's recent transaction and reward level(s) they have attained.
Which solution should the data architect use to provide the information within the salesforce for the customer support agents?

A. Create a custom object in salesforce to capture and store all reward program. Populate nightly from the point-of-scale system, and present on the customer record.
B. Provide a button so that the agent can quickly open the point of sales system displaying the customer history.
C. Create a custom big object to capture the reward program data and display it on the contact record and update nightly from the point-of-scale system.
D. Capture the reward program data in an external data store and present the 12 months trailing summary in salesforce using salesforce connect and then external object.

Answer: C

Explanation:
According to the Get Started with Big Objects unit on Trailhead, one of the use cases for custom big objects is to store and manage loyalty program data for customers. The unit states that "From loyalty programs to transactions, order, and billing information, use a custom big object to keep track of every detail." Therefore, a custom big object can be used to capture the reward program data and display it on the contact record. Additionally, according to the Big Objects Implementation Guide, big objects can handle massive amounts of data (up to billions of records) and can be updated nightly from external systems using Bulk API or batch Apex. Therefore, a custom big object can meet the requirements of NTO's loyalty program scenario.

NEW QUESTION # 93
NTO uses salesforce to manage relationships and track sales opportunities. It has 10 million customers and 100 million opportunities. The CEO has been complaining 10 minutes to run and sometimes failed to load, throwing a time out error. Which 3 options should help improve the dashboard performance? Choose 3 answer

A. Remove widgets from the dashboard to reduce the number of graphics loaded.
B. Reduce the amount of data queried by archiving unused opportunity records.
C. Use selective queries to reduce the amount of data being returned.
D. De-normalize the data by reducing the number of joins.
E. Run the dashboard for CEO and send it via email.

Answer: B,C,D

Explanation:
To improve the dashboard performance, the data architect should use selective queries to reduce the amount of data being returned, de-normalize the data by reducing the number of joins, and reduce the amount of data queried by archiving unused opportunity records. These options will help optimize the query performance, reduce the query complexity, and free up storage space.

NEW QUESTION # 94
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