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NEW QUESTION: 1
How do a company’s IT requirements change when implementing a hyperconverged solution?
A. IT specialists are needed to manage the storage, server, and networking components.
B. An IT generalist can manage the entire hyperconverged solution.
C. IT can maintain their server and storage siloes while reducing the time it takes to manage them.
D. IT has a suite of tools to plan and optimize the storage and server components.
Answer: D

NEW QUESTION: 2
Your team is building a data engineering and data science development environment.
The environment must support the following requirements:
support Python and Scala
compose data storage, movement, and processing services into automated data pipelines the same tool should be used for the orchestration of both data engineering and data science support workload isolation and interactive workloads enable scaling across a cluster of machines You need to create the environment.
What should you do?
A. Build the environment in Apache Spark for HDInsight and use Azure Container Instances for orchestration.
B. Build the environment in Apache Hive for HDInsight and use Azure Data Factory for orchestration.
C. Build the environment in Azure Databricks and use Azure Container Instances for orchestration.
D. Build the environment in Azure Databricks and use Azure Data Factory for orchestration.
Answer: D
Explanation:
In Azure Databricks, we can create two different types of clusters.
Standard, these are the default clusters and can be used with Python, R, Scala and SQL High-concurrency Azure Databricks is fully integrated with Azure Data Factory.
Incorrect Answers:
D: Azure Container Instances is good for development or testing. Not suitable for production workloads.
References:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/data-science-and-machinelearning

NEW QUESTION: 3
You must unload data from the orders, order_items, and products database tables to four files using the External Tables.
CREATE TABLE orders_ext
(order_id, order_date, product_id, product_name,quantity)
ORGANIZATION EXTERNAL
(
TYPE ORACLE_DATAPUMP
DEFAULT DIRECTORY ext.dir
LOCATION ('ordersl.dmp','orders2.dmp','orders3.dmp','lorders4.dmp')
)
PARALLEL
AS
SELECT o.order_id,o.order_date,p.product_id,p.product_name,i.quantity
FROM orders o,productsp,order_itemsi
WHERE o.orderjd = i.order_id and i.product_id = p.product_id;
You execute the command shown in the Exhibit, but only two files are created. Which parameter must be changed so that four files are created?
A. LOCATION
B. TYPE
C. DEFAULT DIRECTORY
D. ORGANIZATION EXTERNAL
E. PARALLEL
Answer: E
Explanation:
Explanation
Reference https://docs.oracle.com/cd/B19306_01/server.102/b14215/et_concepts.htm#i1007483

NEW QUESTION: 4
Given:
33. try {
34. //some code here
35. } catch (NullPointerException e1) {
36. System.out.print("a");
37. } catch (Exception e2) {
38. System.out.print("b");
39. } finally {
40. System.out.print("c");
41. }
If some sort of exception is thrown at line 34, which output is possible?
A. a
B. ac
C. c
D. b
E. abc
Answer: B

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