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NEW QUESTION: 1
A. Insert Windows disc - i386 folder
B. Control Panel - folder options
C. Start menu - run - REGEDIT
D. Right-click desktop - view
Answer: B
NEW QUESTION: 2
A developer needs to create an OSGi service to run on an Author instance and send out newsletters at periodic intervals. Intervals should be customized using the Web Console Configuration. Concurrent execution must be prevented.
Which code snippet should a developer use to achieve?
A. Option C
B. Option D
C. Option A
D. Option B
Answer: D
NEW QUESTION: 3
최고 재무 책임자와 IT 책임자가 인기있는 제품에 대한 웹 트래픽을 제공하기 위해 두 개의 가용 영역에 균등하게 분산 된 10m1. 대용량 이용률 예약 인스턴스 (RI)를 구입했습니다. Route 53은 트래픽을 ELB (Elastic Load Balancer)로 전달하는 데 사용됩니다. 몇 달이 지나면 제품의 인기가 높아지고 추가 용량이 필요합니다. 결과적으로 회사는 2 개의 C3.2xlarge 매체 사용률 Ris를 구매합니다. 두 개의 c3.2xlarge 인스턴스를 ELB에 등록하고 m1.large 인스턴스가 용량의 100 %이고 c3.2xlarge 인스턴스가 사용되지 않은 상당한 용량을 가지고 있음을 금방 알 수 있습니다.
가장 비용 효율적이며 EC2 용량을 가장 효과적으로 사용하는 옵션은 무엇입니까?
A. Cloudwatch에 의해 트리거 될 때 온 디맨드 m1.large 인스턴스를 최대 10 개 추가하도록 AutoScaling 그룹 구성 및 ELB를 사용하여 구성 시작. c3.2xlarge 인스턴스를 종료하십시오.
B. 2 개의 c3.2xlarge 인스턴스로 ELB를 구성하고 최대 2 개의 추가 c3.2xlarge 인스턴스에 대해 주문형 Autoscaling 그룹을 사용하십시오. m1.large 인스턴스를 종료하십시오.
C. 각 인스턴스 유형에 대해 별도의 ELB를 사용하고 Route 53 가중 라운드 로빈을 사용하여 ELB에로드를 분배하십시오.
D. Route 53 대기 시간 기반 라우팅 및 상태 확인을 사용하여 트래픽을 EC2 m1.large 및 c3.2xlarge 인스턴스로 직접 라우팅합니다. ELB를 종료하십시오.
Answer: C
NEW QUESTION: 4
You are developing a solution using a Lambda architecture on Microsoft Azure.
The data at test layer must meet the following requirements:
Data storage:
* Serve as a repository (or high volumes of large files in various formats.
* Implement optimized storage for big data analytics workloads.
* Ensure that data can be organized using a hierarchical structure.
Batch processing:
* Use a managed solution for in-memory computation processing.
* Natively support Scala, Python, and R programming languages.
* Provide the ability to resize and terminate the cluster automatically.
Analytical data store:
* Support parallel processing.
* Use columnar storage.
* Support SQL-based languages.
You need to identify the correct technologies to build the Lambda architecture.
Which technologies should you use? To answer, select the appropriate options in the answer area
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Data storage: Azure Data Lake Store
A key mechanism that allows Azure Data Lake Storage Gen2 to provide file system performance at object storage scale and prices is the addition of a hierarchical namespace. This allows the collection of objects/files within an account to be organized into a hierarchy of directories and nested subdirectories in the same way that the file system on your computer is organized. With the hierarchical namespace enabled, a storage account becomes capable of providing the scalability and cost-effectiveness of object storage, with file system semantics that are familiar to analytics engines and frameworks.
Batch processing: HD Insight Spark
Aparch Spark is an open-source, parallel-processing framework that supports in-memory processing to boost the performance of big-data analysis applications.
HDInsight is a managed Hadoop service. Use it deploy and manage Hadoop clusters in Azure. For batch processing, you can use Spark, Hive, Hive LLAP, MapReduce.
Languages: R, Python, Java, Scala, SQL
Analytic data store: SQL Data Warehouse
SQL Data Warehouse is a cloud-based Enterprise Data Warehouse (EDW) that uses Massively Parallel Processing (MPP).
SQL Data Warehouse stores data into relational tables with columnar storage.
References:
https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-namespace
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/batch-processing
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-overview-what-is
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Aalk - 2014-05-05 16:45:18
Plato - 2014-05-05 16:45:51
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Eleanore - 2014-09-28 16:36:48