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NEW QUESTION: 1
You are designing an order processing system in Azure that will contain the Azure resources shown in the following table.

The order processing system will have the following transaction flow:
A customer will place an order by using App1.
When the order is received, App1 will generate a message to check for product availability at vendor 1 and vendor 2.
An integration component will process the message, and then trigger either Function1 or Function2 depending on the type of order.
Once a vendor confirms the product availability, a status message for App1 will be generated by Function1 or Function2.
All the steps of the transaction will be logged to storage1.
Which type of resource should you recommend for the integration component?
Which type of resource should you recommend for the integration component?
A. an Azure Event Hubs capture
B. an Azure Data Factory pipeline
C. an Azure Event Grid domain
D. an Azure Service Bus queue
Answer: B
Explanation:
A data factory can have one or more pipelines. A pipeline is a logical grouping of activities that together perform a task.
The activities in a pipeline define actions to perform on your data.
Data Factory has three groupings of activities: data movement activities, data transformation activities, and control activities.
Azure Functions is now integrated with Azure Data Factory, allowing you to run an Azure function as a step in your data factory pipelines.
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/concepts-pipelines-activities

NEW QUESTION: 2
How is an Organization defined within the context of the Meraki Dashboard?
A. It consists of multiple service provider resources including support ticket management and API sandboxes.
B. It contains Cisco Meraki devices, their configurations, statistics, and any client device information.
C. It serves as the boundary of the administrative domain of the account including license, inventory, and user management.
D. it is defined by the network construct of the user and categorized as either SME (small medium enterprise), campus, or a distributed enterprise
Answer: B

NEW QUESTION: 3
Welches Thema schätzt die Kosten für die Durchführung des Projekts?
A. Geschäftsfall
B. Fortschritt
C. Ändern
D. Pläne
Answer: D

NEW QUESTION: 4
Identify the tool best suited to import a portion of a relational database every day as files into HDFS, and generate Java classes to interact with that imported data?
A. Sqoop
B. Oozie
C. Pig
D. Hive
E. fuse-dfs
F. Hue
G. Flume
Answer: A
Explanation:
Sqoop ("SQL-to-Hadoop") is a straightforward command-line tool with the following
capabilities:
Imports individual tables or entire databases to files in HDFS
Generates Java classes to allow you to interact with your imported data
Provides the ability to import from SQL databases straight into your Hive data warehouse
Note:
Data Movement Between Hadoop and Relational Databases
Data can be moved between Hadoop and a relational database as a bulk data transfer, or
relational tables can be accessed from within a MapReduce map function.
Note:
* Cloudera's Distribution for Hadoop provides a bulk data transfer tool (i.e., Sqoop) that imports individual tables or entire databases into HDFS files. The tool also generates Java classes that support interaction with the imported data. Sqoop supports all relational databases over JDBC, and Quest Software provides a connector (i.e., OraOop) that has been optimized for access to data residing in Oracle databases.
Reference: http://log.medcl.net/item/2011/08/hadoop-and-mapreduce-big-data-analyticsgartner/ (Data Movement between hadoop and relational databases, second paragraph)