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Databricks Associate-Developer-Apache-Spark-3.5 exam
  • Exam Code: Associate-Developer-Apache-Spark-3.5
  • Exam Name: Databricks Certified Associate Developer for Apache Spark 3.5 - Python
  • Version: V12.35
  • Q & A: 70 Questions and Answers
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NEW QUESTION: 1
Refer to the exhibit.

The MAC address table is shown in its entirety. The Ethernet frame that is shown arrives at the switch. What two operations will the switch perform when it receives this frame? (Choose two.)
A. The frame will be forwarded out of fa0/0 and fa0/1 only.
B. The switch will not forward a frame with this destination MAC address.
C. The MAC address of 0000.00aa.aaaa will be added to the MAC Address Table.
D. The frame will be forwarded out of all the active switch ports except for port fa0/0.
E. The MAC address of ffff.ffff.ffff will be added to the MAC address table.
F. The frame will be forwarded out of all the ports on the switch.
Answer: C,D

NEW QUESTION: 2
Identify four OGC vector data formats that Oracle Spatial can translate to and from natively.
A. GML
B. WKB
C. SHP
D. WKT
E. KML
F. GWT
Answer: A,B,D,E
Explanation:
Explanation/Reference:
Oracle Spatial provides different types of converters to convert the geometry data to GML (both Version
2.1 and Version 3.1.1), KML, and the well-known text and binary (WKT and WKB) representations. These converters are provided as PL/SQL functions and Java APIs.
References: https://www.safaribooksonline.com/library/view/applying-and-extending/9781849686365/ ch02s07.html
https://docs.oracle.com/database/121/SPATL/sdo_util-from_wktgeometry.htm
https://docs.oracle.com/database/121/SPATL/sdo_util-to_wkbgeometry.htm#SPATL1250

NEW QUESTION: 3
Use the following login credentials as needed:
Azure Username: xxxxx
Azure Password: xxxxx
The following information is for technical support purposes only:
Lab Instance: 10277521
You plan to create multiple pipelines in a new Azure Data Factory V2.
You need to create the data factory, and then create a scheduled trigger for the planned pipelines. The trigger must execute every two hours starting at 24:00:00.
To complete this task, sign in to the Azure portal.
Answer:
Explanation:
Step 1: Create a new Azure Data Factory V2
1. Go to the Azure portal.
2. Select Create a resource on the left menu, select Analytics, and then select Data Factory.

4. On the New data factory page, enter a name.
5. For Subscription, select your Azure subscription in which you want to create the data factory.
6. For Resource Group, use one of the following steps:


7. For Version, select V2.
8. For Location, select the location for the data factory.
9. Select Create.
10. After the creation is complete, you see the Data Factory page.
Step 2: Create a schedule trigger for the Data Factory
1. Select the Data Factory you created, and switch to the Edit tab.

2. Click Trigger on the menu, and click New/Edit.

3. In the Add Triggers page, click Choose trigger..., and click New.

4. In the New Trigger page, do the following steps:
a. Confirm that Schedule is selected for Type.
b. Specify the start datetime of the trigger for Start Date (UTC) to: 24:00:00 c. Specify Recurrence for the trigger. Select Every Hour, and enter 2 in the text box.

5. In the New Trigger window, check the Activated option, and click Next.
6. In the New Trigger page, review the warning message, and click Finish.
7. Click Publish to publish changes to Data Factory. Until you publish changes to Data Factory, the trigger does not start triggering the pipeline runs.

References:
https://docs.microsoft.com/en-us/azure/data-factory/quickstart-create-data-factory-portal
https://docs.microsoft.com/en-us/azure/data-factory/how-to-create-schedule-trigger

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