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NEW QUESTION: 1
ネットワーク管理者がワイヤレスゲストアクセスを設定していて、クライアントアクセスのテストに失敗しました。
エンドポイントはSSIDに接続できますが、ゲストポータルを介してゲストネットワークへのアクセスを許可することはできません。問題を特定するために何をする必要がありますか？
A. コンテキストの可視性を使用して姿勢のステータスを確認します。
B. IDグループを使用して、許可ルールを検証します。
C. エンドポイントIDを使用してセッショントレースを実行します。
D. tracerouteを使用して接続を確保します。
Answer: C
Explanation:
https://www.cisco.com/c/en/us/td/docs/security/ise/1-3/admin_guide/b_ise_admin_guide_13/b_ise_admin_guide_sample_chapter_011001.html#concept_87916A77E8774545B36D0BB422429596

NEW QUESTION: 2

A. Option A
B. Option D
C. Option C
D. Option B
Answer: B

NEW QUESTION: 3
A set of CSV files contains sales records. All the CSV files have the same data schema.
Each CSV file contains the sales record for a particular month and has the filename sales.csv. Each file in stored in a folder that indicates the month and year when the data was recorded. The folders are in an Azure blob container for which a datastore has been defined in an Azure Machine Learning workspace. The folders are organized in a parent folder named sales to create the following hierarchical structure:

At the end of each month, a new folder with that month's sales file is added to the sales folder.
You plan to use the sales data to train a machine learning model based on the following requirements:
* You must define a dataset that loads all of the sales data to date into a structure that can be easily converted to a dataframe.
* You must be able to create experiments that use only data that was created before a specific previous month, ignoring any data that was added after that month.
* You must register the minimum number of datasets possible.
You need to register the sales data as a dataset in Azure Machine Learning service workspace.
What should you do?
A. Create a tabular dataset that references the datastore and explicitly specifies each 'sales/mm-yyyy/ sales.csv' file every month. Register the dataset with the name sales_dataset each month, replacing the existing dataset and specifying a tag named month indicating the month and year it was registered. Use this dataset for all experiments.
B. Create a tabular dataset that references the datastore and explicitly specifies each 'sales/mm-yyyy/ sales.csv' file. Register the dataset with the name each month as a new version and with a tag named month indicating the month and year it was registered. Use this dataset for all experiments, identifying the version to be used based on the
C. Create a new tabular dataset that references the datastore and explicitly specifies each 'sales/mm-yyyy/ sales.csv' file every month. Register the dataset with the name sales_dataset_MM-YYYY each month with appropriate MM and YYYY values for the month and year. Use the appropriate month-specific dataset for experiments.
D. Create a tabular dataset that references the datastore and specifies the path 'sales/*/sales.csv', register the dataset with the name sales_dataset and a tag named month indicating the month and year it was registered, and use this dataset for all experiments.
Answer: D
Explanation:
Explanation
Specify the path.
Example:
The following code gets the workspace existing workspace and the desired datastore by name. And then passes the datastore and file locations to the path parameter to create a new TabularDataset, weather_ds.
from azureml.core import Workspace, Datastore, Dataset
datastore_name = 'your datastore name'
# get existing workspace
workspace = Workspace.from_config()
# retrieve an existing datastore in the workspace by name
datastore = Datastore.get(workspace, datastore_name)
# create a TabularDataset from 3 file paths in datastore
datastore_paths = [(datastore, 'weather/2018/11.csv'),
(datastore, 'weather/2018/12.csv'),
(datastore, 'weather/2019/*.csv')]
weather_ds = Dataset.Tabular.from_delimited_files(path=datastore_paths)

NEW QUESTION: 4
You have a database that users query frequently.
The users report that during peak business hours, the queries take longer than expected to execute.
A junior database administrator uses Microsoft SQL Server Profiler on the database server to trace the session activities.
While performing the trace, the performance of the database server worsens, and the server crashes.
You need to recommend a solution to collect the query run times. The solution must minimize the impact on the resources of the database server.
What should you recommend?
A. Collect performance data by using a Data Collector Set (DCS) in Performance Monitor.
B. Clean up tempdb, and then use SQL Server Profiler on the datafile server to trace the session activities.
C. Increase the free space on the system drive of the database server, and then use SQL Server Profiler on the server to trace the session activities.
D. Collect session activity data by using SQL Server Extended Events.
Answer: C