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NEW QUESTION: 1
interface GigabitEthernet0/1
ip address 192.168.10.1 255.255.255.0
ip ospf authentication message-digest
ip ospf message-digest-key 1 md5 CCNA
!
router ospf 65000
router-id 192.168.10.1
area 20 authentication message-digest
network 10.1.1.0 0.0.0.255 area 10
network 192.168.10.0 0.0.0.255 area 0
!
A. ip ospf authentication message-digest
B. network 192.168.10.0 0.0.0.255 area 0
C. ip ospf message-digest-key 1 md5 CCNA
D. area 20 authentication message-digest
Answer: D
NEW QUESTION: 2
You are using the Match Designer with a One-source match specification. You have attempted to configure the match specification test environment and received an error when you selected 'Update'.
What is the most likely cause of the problem.
A. The 'Configuration File Location' is blank.
B. The Test Results Database' is not a defined connector.
C. The 'Maximum Frequency Value' is blank.
D. The 'Data Sample Data Set' is not a Data Set.
Answer: C
NEW QUESTION: 3
ソリューションアーキテクトは、インターネットに接続された2,000のセンサーからデータを収集して保存するシステムを設計しています。各センサーは毎秒1 KBのデータを生成します。データは、システムに送信され、分析のために無期限に保存されてから数秒以内に分析に使用できる必要があります。
データを収集して保存するための最も費用対効果の高いソリューションはどれですか？
A. 各レコードをAmazon Kinesis Data Streamsに入れます。 AWS Lambda関数を使用して、時間ごとにレコードを整理し、レコードのキーをハッシュするプレフィックスを使用して、Amazon S3のオブジェクトに各レコードを書き込みます。
Kinesis Data Streamsの最近のデータとAmazon S3の履歴データを分析します。
B. 各レコードをAmazon Kinesis Data Streamsに入れます。 Amazon Kinesis Data Firehouseをセットアップして、ストリームからレコードを読み取り、それらをAmazon S3のオブジェクトにグループ化します。 Kinesis Data Streamsの最近のデータとAmazon S3の履歴データを分析します。
C. 各レコードをAmazon DynamoDBテーブルに入れます。テーブルにクエリを実行して、最近のデータを分析します。 DynamoDBストリームに接続されたAWS Lambda関数を使用してレコードをグループ化し、それらをAmazon S3のオブジェクトに書き込み、DynamoDBテーブルからレコードを削除します。 DynamoDBテーブルの最近のデータとAmazon S3の履歴データを分析する
D. 時間ごとにレコードを整理し、レコードのキーをハッシュするプレフィックスを持つAmazon S3のオブジェクトに各レコードを入れます。 S3ライフサイクル管理を使用して、オブジェクトをS3低頻度アクセスストレージに移行し、ストレージコストを削減します。 Amazon S3のデータにアクセスして、最近および過去のデータを分析する
Answer: B