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NEW QUESTION: 1
Which two application styles have Reference Architectures in the IBM Garage Method Architecture
Center? (Choose two.)
A. Public Sector
B. Blockchain
C. Private Cloud
D. Healthcare
E. SDK for Node.js
Answer: B,C
Explanation:
Explanation/Reference:
Reference: https://www.ibm.com/cloud/garage/architectures

NEW QUESTION: 2
Given four empty chairs and three people, how many seating arrangements are possible-one person to a
chair?
A. 0
B. 1
C. 2
D. 3
E. 4
Answer: D
Explanation:
To solve this problem, you can either list the possibilities or apply the factorial formula:
4 ! = 4 x 3 x 2 x 1 = 24

NEW QUESTION: 3
Which two data sources does extlibx provide for XPages? (Choose two.)
A. JDBC RowSet for read/write access
B. JDBC Open for data access
C. JDBC Query for read only access
D. JDBC Save for write access
E. JDBC OpenforWrite provides read and write access
Answer: A,C
Explanation:
Explanation/Reference:
Explanation:

NEW QUESTION: 4
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the started goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You need to design the system that handles uploaded documents.
Solution: Use an Azure Blob Container as the location to upload documents. Use Azure Event Grid for user notification and to start processing.
Does the solution meet the goal?
A. No
B. Yes
Answer: A
Explanation:
Explanation
An Azure Blob Container, which uses an object store with flat namespace, is good for this scenario.
However, a service bus is needed to meet the requirements, not an Event grid.
Scenario: Document Uploads
During the document upload process, the solution must capture information about the geographic location where documents originate. Processing of documents must be automatically triggered when documents are uploaded. Customers must be notified when analysis of their uploaded documents begins.
Uploaded documents must be processed using Azure Machine Learning Studio in an Azure Data Factory pipeline. The machine learning portion of the pipeline is updated once a quarter.
When document processing is complete, the documents and the results of the analysis process must be visible.
Reference: https://docs.microsoft.com/en-us/azure/event-grid/compare-messaging-services