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NEW QUESTION: 1
A class with stereotype <<process>> in the Cúram model results in Java files being generated in which three of the following packages? (Choose three.)
A. fact
B. impl
C. intf
D. process
E. base
F. struct
Answer: A,C,E

NEW QUESTION: 2
You have created several block volumes in the us-phoenix-1 region in a specific compartment. The compartment can be identified by the following Oracle Cloud Infrastructure (OCI) unique identifier, or ocid1.compartment.oc1.phx..exampleuniquelD Your manager has asked you to leverage the OCI monitoring service and write a metric query showing all read IOPS at a one-minute interval, filtered to this compartment and aggregated for the maximum.
Which metric query will you create?
A. IopsRead[lm]{compartmentId = "odd 1.compartment.ocl.phx..exampleuniquelD"}.grouping().mean()
B. IopsRead[lm]{compartmentId="ocldl.compartment.ocl.phx..exampleuniquelD"}.max()
C. IopsWrite[lm]{compartmentId=Hocidl.compartment.ocl.phx..exampleuniquelD"}.mean()
D. IopsRead[lm]{compartmentId="ocidl.compartment.ocl.phx..exampleuniquelD"}.grouplng().max()
Answer: D
Explanation:
Example, the following query returns the maximum (max()) IopsRead metric data at a one-minute interval, filtered to a compartment, with all results aggregated.
IopsRead[1m]{compartmentID = "<compartment_OCID>"}.grouping().max()
https://docs.cloud.oracle.com/en-us/iaas/Content/Monitoring/Tasks/buildingqueries.htm

NEW QUESTION: 3
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You are implementing a batch processing solution by using Azure HDInsight.
You have data stored in Azure.
You need to ensure that you can access the data by using Azure Active Directory (Azure AD) identities.
What should you do?
A. Increase the number of spark.executor.instances in an Apache Spark job that stores the data in a text format.
B. Use a broadcast join in an Apache Hive query that stores the data in an ORC format.
C. Use an Azure Data Factory linked service that stores the data in an Azure DocumentDB database.
D. Use a shuffle join in an Apache Hive query that stores the data in a JSON format.
E. Decrease the level of parallelism in an Apache Spark job that stores the data in a text format.
F. Use an action in an Apache Oozie workflow that stores the data in a text format.
G. Use an Azure Data Factory linked service that stores the data in Azure Data Lake.
H. Increase the number of spark.executor.cores in an Apache Spark job that stores the data in a text format.
Answer: G
Explanation:
References: https://docs.microsoft.com/en-us/azure/data-factory/concepts-datasets-linked-services

NEW QUESTION: 4
別紙をご参照ください。

どのJSONがXMLエンコードされたデータに相当します。
A）

B）

C）

D）

A. オプションD
B. オプションB
C. オプションA
D. オプションC
Answer: A

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