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NEW QUESTION: 1
Scenario: The NetScaler is connected to two subnets. The NSIP is 10.2.9.12. The external SNIP is 10.2.7.3. The MIP
for internal
access is 10.2.9.3. Web servers, authentication servers and time servers are on the 10.2.10.0/24 network which is available through the 10.2.9.1 router. The external firewall has the 10.2.7.1 address. Traffic bound for Internet clients should flow through the external firewall. Which command should be used to set the default route?
A. add route 0.0.0.0 0.0.0.0 10.2.7.1
B. add route 0.0.0.0 0.0.0.0 10.2.9.1
C. add route 10.0.0.0 255.0.0.0 10.2.7.1
D. add route 10.0.0.0 255.0.0.0 10.2.9.1
Answer: A
NEW QUESTION: 2
Your network controller application needs to get the traffic load per interface of network devices. To support as many types of network devices as possible, you use the standard way to get the traffic information.
Which way does Cisco recommend to correct the traffic load information per interface?
A. SNMP
B. IP SLA
C. NetFlow
D. sFlow
Answer: A
NEW QUESTION: 3
A technician is configuring a wireless guest network. After applying the most recent changes the technician finds the new devices can no longer find the wireless network by name but existing devices are still able to use the wireless network. Which of the following security measures did the technician MOST likely implement to cause this Scenario?
A. Reduction of WAP signal output power
B. Implementation of MAC filtering
C. Deactivation of SSID broadcast
D. Activation of 802.1X with RADIUS
E. Beacon interval was decreased
Answer: C
NEW QUESTION: 4
CSVファイルからテキストを前処理する予定です。 Azure Machine Learning Studioのデフォルトのストップワードリストをロードします。
次の要件を満たすように、テキストの前処理モジュールを構成する必要があります。
*単一の標準形式から複数の関連する単語を確認します。
*テキストからパイプ文字を削除します。
*情報検索を最適化するために単語を削除します。
どの3つのオプションを選択する必要がありますか？回答するには、回答エリアで適切なオプションを選択します。
注：それぞれの正しい選択には1ポイントの価値があります。
Answer:
Explanation:
Explanation:
Box 1: Remove stop words
Remove words to optimize information retrieval.
Remove stop words: Select this option if you want to apply a predefined stopword list to the text column. Stop word removal is performed before any other processes.
Box 2: Lemmatization
Ensure that multiple related words from a single canonical form.
Lemmatization converts multiple related words to a single canonical form Box 3: Remove special characters Remove special characters: Use this option to replace any non-alphanumeric special characters with the pipe | character.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/preprocess-text