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  • Exam Number/Code : MLA-C01
  • Exam Name : AWS Certified Machine Learning Engineer - Associate
  • Questions and Answers : 260 Q&As
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NEW QUESTION: 1
You are designing a solution that will ingest data from an Azure loT Edge device, preprocess the data in Azure Machine Learning, and then move the data to Azure HDInsight for further processing.
What should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Export Data
The Export data to Hive option in the Export Data module in Azure Machine Learning Studio. This option is useful when you are working with very large datasets, and want to save your machine learning experiment data to a Hadoop cluster or HDInsight distributed storage.
Box 2: Apache Hive
Apache Hive is a data warehouse system for Apache Hadoop. Hive enables data summarization, querying, and analysis of data. Hive queries are written in HiveQL, which is a query language similar to SQL.
Box 3: Azure Data Lake
Default storage for the HDFS file system of HDInsight clusters can be associated with either an Azure Storage account or an Azure Data Lake Storage.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/export-to-hive-query
https://docs.microsoft.com/en-us/azure/hdinsight/hadoop/hdinsight-use-hive

NEW QUESTION: 2
When an Oracle VM server starts, by default how does it map physical NICs to Xen bridges?
A. All physical NICs are mapped to a single Xen bridge.
B. Each physical NIC is mapped to one or more virtual networks, each of which is assigned a Xen bridge.
C. No mapping of physical NICs to Xen bridges is done by default.
D. One Xen bridge will be created for each physical NIC.
E. The first physical NIC is assigned to dom0's management; a Xen bridge is then created for each of the remaining cards.
Answer: D

NEW QUESTION: 3
You need to guarantee that SAN protocols are used in a new storage virtual machine (SVM).
In this scenario, which LIF service policy is required?
A. default-data-files
B. default-data-blocks
C. default-cluster
D. default-management
Answer: B

NEW QUESTION: 4
Microsoft Azureにラムダアーキテクチャを実装するデータエンジニアです。オープンソースのビッグデータソリューションを使用して、データを収集、処理、および保守します。分析データストアのパフォーマンスが低下しています。
次の要件を満たすソリューションを実装する必要があります。
データウェアハウジングを提供する
継続的な管理活動を削減
SQLクエリの応答を1秒未満で配信します
要件を満たすには、HDInsightクラスターを作成する必要があります。
どのタイプのクラスターを作成する必要がありますか?
A. インタラクティブクエリ
B. Apache HBase
C. Apache Hadoop
D. Apache Spark
Answer: D
Explanation:
Explanation
Lambda Architecture with Azure:
Azure offers you a combination of following technologies to accelerate real-time big data analytics:
Azure Cosmos DB, a globally distributed and multi-model database service.
Apache Spark for Azure HDInsight, a processing framework that runs large-scale data analytics applications.
Azure Cosmos DB change feed, which streams new data to the batch layer for HDInsight to process.
The Spark to Azure Cosmos DB Connector

Note: Lambda architecture is a data-processing architecture designed to handle massive quantities of data by taking advantage of both batch processing and stream processing methods, and minimizing the latency involved in querying big data.
References:
https://sqlwithmanoj.com/2018/02/16/what-is-lambda-architecture-and-what-azure-offers-with-its-new-cosmos

 

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