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  • Exam Code: AWS-Certified-Machine-Learning-Specialty-KR
  • Exam Name: AWS Certified Machine Learning - Specialty (MLS-C01 Korean Version)
  • Version: V17.95
  • Q & A: 400 Questions and Answers
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  • Exam Code: AWS-Certified-Machine-Learning-Specialty-KR
  • Exam Name: AWS Certified Machine Learning - Specialty (MLS-C01 Korean Version)
  • Version: V17.95
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  • Exam Code: AWS-Certified-Machine-Learning-Specialty-KR
  • Exam Name: AWS Certified Machine Learning - Specialty (MLS-C01 Korean Version)
  • Version: V17.95
  • Q & A: 400 Questions and Answers
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NEW QUESTION: 1
The following parameter are set for your Oracle 12c database instance:
OPTIMIZER_CAPTURE_SQL_PLAN_BASELINES=FALSE
OPTIMIZER_USE_SQL_PLAN_BASELINES=TRUE
You want to manage the SQL plan evolution task manually. Examine the following steps:
1 . Set the evolve task parameters.
2 . Create the evolve task by using the DBMS_SPM.CREATE_EVOLVE_TASK function.
3 . Implement the recommendations in the task by using the
DBMS_SPM.IMPLEMENT_EVOLVE_TASK function.
4 . Execute the evolve task by using the DBMS_SPM.EXECUTE_EVOLVE_TASK function.
5 . Report the task outcome by using the DBMS_SPM.REPORT_EVOLVE_TASK function.
Identify the correct sequence of steps:
A. 2, 4, 5
B. 2, 1, 4, 3, 5
C. 1, 2, 4, 5
D. 1, 2, 3, 4, 5
Answer: B
Explanation:
* Evolving SQL Plan Baselines

* 2. Create the evolve task by using the DBMS_SPM.CREATE_EVOLVE_TASK function.
This function creates an advisor task to prepare the plan evolution of one or more plans for a specified SQL statement. The input parameters can be a SQL handle, plan name or a list of plan names, time limit, task name, and description.
1. Set the evolve task parameters.
SET_EVOLVE_TASK_PARAMETER
This function updates the value of an evolve task parameter. In this release, the only valid parameter is TIME_LIMIT.
4. Execute the evolve task by using the DBMS_SPM.EXECUTE_EVOLVE_TASK function.
This function executes an evolution task. The input parameters can be the task name, execution name, and execution description. If not specified, the advisor generates the name, which is returned by the function.
3: IMPLEMENT_EVOLVE_TASK
This function implements all recommendations for an evolve task. Essentially, this function is equivalent to using ACCEPT_SQL_PLAN_BASELINE for all recommended plans. Input parameters include task name, plan name, owner name, and execution name.
5. Report the task outcome by using the DBMS_SPM_EVOLVE_TASK function.
This function displays the results of an evolve task as a CLOB. Input parameters include the task name and section of the report to include.
References:

NEW QUESTION: 2
A Service Provider network designer is considering the use of the G.8032 Ethernet Ring Protection mechanism in order to provide resiliency in the network. Which three concepts will be supported with the implementation G.8032? (Choose three.)
A. Ring Protection Link (RPL)
B. Ring Automatic Protection Switching (R-APS)
C. Automatic Protection Switching (APS) Channel
D. Multi-Router Automatic Protection Switching (MR-APS)
Answer: A,B,C

NEW QUESTION: 3
Each day, company plans to store hundreds of files in Azure Blob Storage and Azure Data Lake Storage. The company uses the parquet format.
You must develop a pipeline that meets the following requirements:
Process data every six hours
Offer interactive data analysis capabilities
Offer the ability to process data using solid-state drive (SSD) caching Use Directed Acyclic Graph(DAG) processing mechanisms Provide support for REST API calls to monitor processes Provide native support for Python Integrate with Microsoft Power BI You need to select the appropriate data technology to implement the pipeline.
Which data technology should you implement?
A. HDInsight Apache Hadoop cluster using MapReduce
B. Azure SQL Data Warehouse
C. HDInsight Spark cluster
D. Azure Stream Analytics
E. HDInsight Apache Storm cluster
Answer: E
Explanation:
Storm runs topologies instead of the Apache Hadoop MapReduce jobs that you might be familiar with. Storm topologies are composed of multiple components that are arranged in a directed acyclic graph (DAG). Data flows between the components in the graph. Each component consumes one or more data streams, and can optionally emit one or more streams.
Python can be used to develop Storm components.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/storm/apache-storm-overview

NEW QUESTION: 4
Which Infranet Controller feature would help with making a large number of changes to the configuration?
A. Import/Export Users
B. Configuration > Tools
C. XML Import/Export
D. Configuration Export
Answer: C

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