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NEW QUESTION: 1
An authorized user is conducting a penetration scan of a system for an organization. The tester has a set of network diagrams. Source code, version numbers of applications. and other information about the system. Including hostnames and network addresses. Which of the following BEST describes this type of penetration test?
A. White-box testing
B. Blue team exercise
C. Black-boxtestlng
D. Gray-box testing
E. Red team exercise
Answer: A
NEW QUESTION: 2
Azure Machine Learning StudioからWeka環境に大きなデータセットを移動しています。
Weka環境用にデータをフォーマットする必要があります。
どのモジュールを使用する必要がありますか？
A. データセットに変換
B. SVMLightに変換
C. CSVに変換
D. ARFFに変換
Answer: D
Explanation:
Use the Convert to ARFF module in Azure Machine Learning Studio, to convert datasets and results in Azure Machine Learning to the attribute-relation file format used by the Weka toolset. This format is known as ARFF.
The ARFF data specification for Weka supports multiple machine learning tasks, including data preprocessing, classification, and feature selection. In this format, data is organized by entites and their attributes, and is contained in a single text file.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/convert-to-arff
NEW QUESTION: 3
Examine the parameter for your database instance:
You generated the execution plan for the following query in the plan table and noticed that the nested loop join was done. After actual execution of the query, you notice that the hash join was done in the execution plan:
Identify the reason why the optimizer chose different execution plans.
A. The optimizer chose different plan because extended statistics were created for the columns used.
B. The optimizer chose different plans because automatic dynamic sampling was enabled.
C. The optimizer used a dynamic plan for the query.
D. The optimizer used re-optimization cardinality feedback for the query.
Answer: B
Explanation:
* optimizer_dynamic_sampling
OPTIMIZER_DYNAMIC_SAMPLING controls both when the database gathers dynamic statistics, and the size of the sample that the optimizer uses to gather the statistics.
Range of values0 to 11