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NEW QUESTION: 1
ネットワークエンジニアは、このタスクにルーティングされたセキュリティポリシーを使用して、セキュリティグループタグに基づいてトラフィックをフィルタリングする必要があるネットワークデバイスを構成していますか？
A. ctsキャッシュの有効化
B. cts認証リスト
C. ctsの役割ベースの実施
D. ctsロールベースのポリシー優先度-静的
Answer: C
NEW QUESTION: 2
Welche der folgenden ist die MEISTE
A. Unterteilung
B. VLAN-Tagging (Virtual Local Area Network)
C. Fehlerkorrektur
D. Segmentierung
Answer: D
NEW QUESTION: 3
ソリューションアーキテクトは、AWSで実行されている最近移行されたアプリケーションの信頼性を評価しています。フロントエンドはAmazonS3でホストされ、AmazonCloudFrontによって高速化されます。 ElasticIPアドレスを持つAmazonEC2オンデマンドインスタンスのステートレスDockerコンテナで実行されているアプリケーション層。ストレージレイヤーは、アプリケーションレイヤーと同じアベイラビリティーゾーンのEC2リザーブドインスタンスで実行されるMongoDBデータベースです。
アプリケーションコードの変更を最小限に抑えて単一障害点を排除するために、ソリューションアーキテクトはどの手順の組み合わせを実行する必要がありますか？ （2つ選択）
A. アプリケーションロードバランサーを作成し、DockerコンテナをAWSFargateに移行します。
B. ストレージレイヤーをAmazonDynamoDBに移行します
C. Application Load Balancerを作成し、ストレージレイヤーをEC2 AutoScalingグループに移動します。
D. AmazonAPI-GatewayでRESTAPIを作成し、アプリケーションレイヤーとしてAWSLambda関数を使用します。
E. ストレージレイヤーをAmazon DocumentDBに移行します（MongoDB互換性あり）
Answer: C,D
NEW QUESTION: 4
Your customer has three XML files in HDFS with the following contents. Each XML file contains comments made by users on a specific day. Each comment can have zero or more "likes" from other users. The customer wants you to query this data and load it into the Oracle Database on Exadata.
How should you parse this data?
A. by using the XML file module in the Oracle XQuery for Hadoop Connector
B. by creating a table in Hive and using MapReduce to parse the XML data by column
C. by configuring the Oracle SQL Connector for HDFS and parsing by using SerDe
D. by using the built-in functions for reading JSON in the Oracle XQuery for Hadoop
Connector
Answer: C
Explanation:
Using Oracle SQL Connector for HDFS, you can use Oracle Database to access and analyze data residing in Apache Hadoop in these formats:
Data Pump files in HDFS
Delimited text files in HDFS
Delimited text files in Apache Hive tables
SerDe is short for Serializer/Deserializer. Hive uses the SerDe interface for IO. The interface handles both serialization and deserialization and also interpreting the results of serialization as individual fields for processing.
A SerDe allows Hive to read in data from a table, and write it back out to HDFS in any custom format. Anyone can write their own SerDe for their own data formats.
References:
https://docs.oracle.com/cd/E53356_01/doc.30/e53067/osch.htm#BDCUG126
https://cwiki.apache.org/confluence/display/Hive/SerDe