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NEW QUESTION: 1
View and Exhibit and examine the structure and data in the INVOICE table. (Choose two.)

Which two statements are true regarding data type conversion in query expressions?
A. CONCAT(inv_amt, inv_date) : requires explicit conversion
B. inv_date = '15-february-2008' :uses implicit conversion
C. inv_date > '01-02-2008' : uses implicit conversion
D. inv_amt = '0255982' : requires explicit conversion
E. inv_no BETWEEN '101' AND '110' : uses implicit conversion
Answer: B,E

NEW QUESTION: 2
Given the following code, how can we use both traits A and B in the same class? (select all that apply) trait A {
public function hello() {
return "hello";
}
public function world() {
return "world";
}
}
trait B {
public function hello() {
return "Hello";
}
public function person($name) {
return ":$name";
}
}
A. Rename the A::hello() method to a different name using A::hello as helloA;
B. None of the above (both can be used directly)
C. Use B::hello() instead of A 's version using use B::hello
D. Rename the A::hello() method to a different name using A::hello renameto helloA;
E. Use B::hello() instead of A 's version using B::hello insteadof A
Answer: E

NEW QUESTION: 3
DRAG DROP
You are designing a solution that ingests, transforms, and stores streams of data from Internet of Things (IoT) devices.
The solution has the following requirements:
* Business users must be able to discover, understand, consume, and contribute to data creation.
* Transform data by using Spark.
* Data analysis must be performed by using a hub-and-spoke business intelligence model.
You need to choose the appropriate products for the solution.
Which technologies should you recommend? To answer, drag the appropriate technologies to the correct requirements. Each technology may be used once, more than one, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:

References:
https://docs.microsoft.com/en-us/azure/data-catalog/data-catalog-what-is-data-catalog
https://docs.microsoft.com/en-us/azure/data-factory/transform-data-using-spark
http://gcloud.world/the-cloud-in-the-news/announcing-azure-analysis-services-general-availability-2/

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