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NEW QUESTION: 1
エンタープライズ企業のデータサイエンスチームは、Amazon SageMakerに簡単にアクセスできる安全で費用対効果の高い方法を提供したいと考えています。データサイエンティストはAWSの知識が限られているため、Jupyterノートブックインスタンスを起動できる必要があります。複雑なセットアップ要件を公開することなく、機械学習ストレージボリュームで保存データを暗号化するには、ノートブックインスタンスに事前構成済みのAWS KMSキーが必要です。
企業がデータサイエンティスト向けのセルフサービスメカニズムを設定して、運用オーバーヘッドが最小のAWSアカウントでJupyterノートブックを起動できるようにする方法はどれですか。
A. 静的Amazon S3ウェブサイトを使用してサーバーレスフロントエンドを作成し、データサイエンティストがフォームに入力してJupyterノートブックインスタンスをリクエストできるようにします。 Amazon API Gatewayを使用してS3ウェブサイトからリクエストを受信し、中央のAWS Lambda関数をトリガーして、データサイエンティスト用に事前構成されたKMSキーでノートブックインスタンスを起動するAmazon SageMakerをAPI呼び出します。次に、フロントエンドWebサイトにコールバックして、ノートブックインスタンスのURLを表示します。
B. AWS CloudFormationテンプレートを作成して、AWS :: SaqeMaker :: Notebooklnstanceリソースタイプと事前構成されたKMSキーを使用してJupyterノートブックインスタンスを起動します。 CloudFormationテンプレートにわかりやすい名前を追加します。出力セクションを使用して、ノートブックへのURLを表示します。
共有のAmazon S3バケットを使用して、CloudFormationテンプレートをデータサイエンティストに配布します。
C. データサイエンティストがローカルで実行できるAWS CLIスクリプトを作成します。 AWS CLIスクリプトを実行して事前構成されたKMSキーでJupyterノートブックを起動するときに提供されるパラメーターについて、手順を追って説明します。共有のAmazon S3バケットを使用して、CLIスクリプトをデータサイエンティストに配布します。
D. AWS CloudFormationテンプレートを作成し、事前設定されたKMSキーでAWS :: SageMaker :: Notebooklnstanceリソースタイプを使用してJupyterノートブックインスタンスを起動します。 CloudFormationの[Mappings]セクションを使用して、インスタンス名などのパラメーター名をSmall、Large、X-Largeにマッピングすることにより、パラメーター名を簡略化します。出力セクションを使用してノートブックのURLを表示し、テンプレートをデータサイエンティストのポートフォリオのAWSサービスカタログ製品にアップロードして、データサイエンティストのIAMロールと共有します。
Answer: D
Explanation:
Explanation
https://aws.amazon.com/blogs/mt/enable-self-service-secured-data-science-using-amazon-sagemaker-notebooks-

NEW QUESTION: 2
DRAG DROP
You are managing a SharePoint search topology.
You need to index custom entity extractor types (tokenized content) in unstructured documents.
Which three actions should you perform in sequence? (To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.) Select and Place:

Answer:
Explanation:

Explanation/Reference:
Note: custom entity extractor types
* (box 1) To create a custom entity extraction dictionary
1. Determine which type of custom entity extraction dictionary you want to create: Word, Word Part, Word exact or Word Part exact.
2. Create a .csv file with the columns Key and Display Form.
* Custom entity extractor / custom entity extractor dictionary
/Word Extraction
Case-insensitive, dictionary entries matching tokenized content, maximum 5 dictionaries.
/Word Part Extraction
Case-insensitive, dictionary entries matching un-tokenized content, maximum 5 dictionaries.
/Word Exact Extraction
/Word Part Exact Extraction
* (box 2) To deploy the custom entity extraction dictionary, you must import it into SharePoint 2013.
To import a custom entity extraction dictionary
Verify that the user account that is importing the custom entity extractor dictionary is an administrator

for the Search service application.
Start the SharePoint 2013 Management Shell.

At the Windows PowerShell command prompt, type the following command:

$searchApp = Get-SPEnterpriseSearchServiceApplication
Import-SPEnterpriseSearchCustomExtractionDictionary -SearchApplication $searchApp -Filename
<Path> -DictionaryName<Dictionary name>
* Import-SpEnterpriseSearchCustomExtractionDictionary
Imports a custom entity extraction dictionary.
This cmdlet imports a custom entity extraction dictionary from a .csv file. In order to activate custom entity extraction you must also configure entity extraction in the search schema (box 3).
* (box 3) Configure a managed property for custom entity extraction
To edit a managed property for custom entity extraction
Verify that the user account is the administrator of the Search service application.

In Central Administration, in the Application Management section, click Manage service

applications.
Click the Search service application.

On the Search Administration page, in the Quick Launch, under Queries and Results, click Search

Schema.
On the Managed Propertiespage, find the managed property that you want to associate the custom

entity extraction dictionary with that contains the single or multiple words (or word parts). You can also enter the name of the managed property in theFilterbox.
Point to the managed property, click the arrow and then click Edit/Map property.

On the Edit Managed Property page, edit the settings under Custom entity extraction. Select the

custom entity extraction dictionary that you have imported, and then click OK.
Reference: Import-SpEnterpriseSearchCustomExtractionDictionary
Reference: Create and deploy custom entity extractors in SharePoint Server 2013

NEW QUESTION: 3
Refer to the exhibit.

This HP 10500 Switch Series is receiving an average of 1 Gbps of HTTP traffic from 10.1.4.0/24. The switch starts to receive an additional 1 Gbps of HTTP traffic from 10.1.4.0/24. How does the switch handle the traffic?
A. It forwards the traffic but marks it yellow (for a higher drop precedence)
B. It drops the traffic
C. It forwards the traffic without remarking it in any way
D. It forwards the traffic but marks it for forwarding in a lower priority queue
Answer: C
Explanation:
Parameters
cir committed-information-rate: Specifies the committed information rate (CIR) in kbps.
cbs committed-burst-size: Specifies the committed burst size (CBS) in bytes. The
committed-burst-size argument ranges from 4000 to 16000000, the default is 4000.
ebs excess-burst-size: Specifies excess burst size (EBS) in bytes. The excess-burst-size
argument ranges from 0 to 16000000, the default is 4000.
pir peak-information-rate: Specifies the peak information rate (PIR) in kbps.
green action: Specifies the action to be conducted for the traffic conforming to CIR. The
action argument can be:
discard: Drops the packets.
pass: Forwards the packets.
remark-dscp-pass new-dscp: Marks the packets with a new DSCP precedence and
forwards them to their destinations. The new-dscp argument is in the range 0 to 63.
By default, packets conforming to CIR are forwarded.
red action: Specifies the action to be conducted for the traffic conforms to neither CIR nor
PIR. The action argument can be:
discard: Drops the packets.
pass: Forwards the packets.
remark-dscp-pass new-dscp: Marks the packets with a new DSCP precedence and
forwards them to their destinations. The new-dscp argument is in the range 0 to 63.
By default, packets conforming to neither CIR nor PIR are dropped.
yellow action: Specifies the action to be conducted for the traffic conforms to PIR but does
not conform to CIR. The actionargument can be:
discard: Drops the packets.
pass: Forwards the packets.
remark-dscp-pass new-dscp: Marks the packets with a new DSCP precedence and
forwards them to their destinations. The new-dscp argument is in the range 0 to 63.
By default, packets conforming to PIR but not conforming to CIR are forwarded.

NEW QUESTION: 4
In the Huawei Active-Passive DR Solution, it is a mandatory step to create consistency groups.
A. TRUE
B. FALSE
Answer: B