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NEW QUESTION: 1
회사는 초당 1,000 건의 수신 이벤트를 수신하는 AWS에서 중요한 처리 서비스를 구축 중입니다.이벤트는 순서대로 처리되어야하며 이벤트가 손실 될 수 없습니다. 여러 응용 프로그램은 각 이벤트를 처리해야 합니다. 회사는 API 게이트웨이를 통해 RESTful 호출로 서비스를 노출합니다.솔루션 설계자는 이러한 요구 사항을 기반으로 이벤트를 수신하기 위해 무엇을 사용해야 합니까?
A. Amazon SNS
B. Amazon Kinesis Data Stream
C. Amazon DynamoDB
D. Amazon SQS
Answer: B

NEW QUESTION: 2
Refer to the exhibit.

A provider uses the recommended mappings for DSCP to MPLS EXP. Several sites connected to the same PE router report that critical data has been experiencing a high number of drops. The customer marks its CRITICAL data as AF31. What appears to be the problem?
A. The classification for CRITICAL-DATA should contain a match-all, not a match-any.
B. If the data receiving drops is high priority, it should be marked with MPLS EXP value 7.
C. The provider is using the recommended mappings for DSCP to MPLS EXP, so the CLASS-MAP for the CRITICAL-DATA should contain EXP value of 4.
D. The allocated bandwidth for CRITICAL-DATA should be increased to provide sufficient bandwidth to support the application.
E. The recommended mapping for AF31 is to MPLS EXP 5, which is classified in the REALTIME class, not the CRITICAL DATA class.
Answer: C

NEW QUESTION: 3
Which Azure data storage solution should you recommend for each application? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Health Review: Azure SQL Database
Scenario: ADatum identifies the following requirements for the Health Review application:
* Ensure that sensitive health data is encrypted at rest and in transit.
* Tag all the sensitive health data in Health Review. The data will be used for auditing.
Health Interface: Azure Cosmos DB
ADatum identifies the following requirements for the Health Interface application:
* Upgrade to a data storage solution that will provide flexible schemas and increased throughput for writing data. Data must be regionally located close to each hospital, and reads must display be the most recent committed version of an item.
* Reduce the amount of time it takes to add data from new hospitals to Health Interface.
* Support a more scalable batch processing solution in Azure.
* Reduce the amount of development effort to rewrite existing SQL queries.
Health Insights: Azure SQL Data Warehouse
Azure SQL Data Warehouse is a cloud-based enterprise data warehouse that leverages massively parallel processing (MPP) to quickly run complex queries across petabytes of data. Use SQL Data Warehouse as a key component of a big data solution.
You can access Azure SQL Data Warehouse (SQL DW) from Databricks using the SQL Data Warehouse connector (referred to as the SQL DW connector), a data source implementation for Apache Spark that uses Azure Blob Storage, and PolyBase in SQL DW to transfer large volumes of data efficiently between a Databricks cluster and a SQL DW instance.
Scenario: ADatum identifies the following requirements for the Health Insights application:
* The new Health Insights application must be built on a massively parallel processing (MPP) architecture that will support the high performance of joins on large fact tables References:
https://docs.databricks.com/data/data-sources/azure/sql-data-warehouse.html

NEW QUESTION: 4

The above Linux command is used to search for:
A. 1Pv6 addresses.
B. MAC addresses.
C. 1Pv4 addresses.
D. memory addresses.
Answer: B