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NEW QUESTION: 1
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
You have an initial dataset that contains the crime data from major cities.
You plan to build training models from the training dat
a. You plan to automate the process of adding more data to the training models and to constantly tune the models by using the additional data, including data that is collected in near real-time. The system will be used to analyze event data gathered from many different sources, such as Internet of Things (IoT) devices, live video surveillance, and traffic activities, and to generate predictions of an increased crime risk at a particular time and place.
You have an incoming data stream from Twitter and an incoming data stream from Facebook, which are event-based only, rather than time-based. You also have a time interval stream every 10 seconds.
The data is in a key/value pair format. The value field represents a number that defines how many times a hashtag occurs within a Facebook post, or how many times a Tweet that contains a specific hashtag is retweeted.
You must use the appropriate data storage, stream analytics techniques, and Azure HDInsight cluster types for the various tasks associated to the processing pipeline.
You are designing the real-time portion of the input stream processing. The input will be a continuous stream of data and each record will be processed one at a time. The data will come from an Apache Kafka producer.
You need to identify which HDInsight cluster to use for the final processing of the input data. This will be used to generate continuous statistics and real-time analytics. The latency to process each record must be less than one millisecond and tasks must be performed in parallel.
Which type of cluster should you identify?
A. Apache Hadoop
B. Apache Storm
C. Apache HBase
D. Apache Spark
Answer: B
Explanation:
References: https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-storm-overview
NEW QUESTION: 2
Which type of application has the following characteristics when it is installed?
Runs continuously in the background by default when the startup type is set to automatic
Presents no user interface
A. Windows Service
B. Windows Forms
C. Batch file
D. Console-based
Answer: A
Explanation:
Explanation/Reference:
A Windows service runs in the background and has no interface.
NEW QUESTION: 3
会社は、MySQLデータベースを実行する独自のAmazon EC2インスタンスを管理しています。会社は、需要の増減に応じてレプリケーションとスケーリングを手動で管理しています。会社は、必要に応じてデータベース層にコンピューティング容量を追加またはデータベース層から削除するプロセスを簡素化する新しいソリューションを必要としています。ソリューションは、運用からの最小限の労力でパフォーマンス、スケーリング、耐久性を向上させる必要もあります。ウィッチソリューションはこれらの要件を満たしていますか？
A. AuroraMySQL用のAmazonAuroraServerlessにデータベースを移行します
B. データベース層のEC2 AutoScalingグループを作成します。既存のデータベースを新しい環境に移行します。
C. タイデータベースをAmazonAuroraサーバーレスまたはAuroraPostgreSQLに移行します
D. データベースを1つの大きなMySQLデータベースに結合する大きなEC2インスタンスで大きなデータベースを実行する
Answer: D
NEW QUESTION: 4
SQL Serverデータへのネットワークアクセスを設計する必要があります。
何をお勧めしますか？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: 8080
1433 is the default port, but we must change it as CONT_SQL3 must not communicate over the default ports.
Because port 1433 is the known standard for SQL Server, some organizations specify that the SQL Server port number should be changed to enhance security.
Box 2: SQL Server Configuration Manager
You can configure an instance of the SQL Server Database Engine to listen on a specific fixed port by using the SQL Server Configuration Manager.
References:
https://docs.microsoft.com/en-us/sql/database-engine/configure-windows/configure-a-server-to-listen-on-a-speci