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NEW QUESTION: 1
커다란 채워진 동물 제조 회사가 급속도로 성장하면서 끊임없이 새로운 동물을 제품 라인에 추가하고 있습니다. COO는 각 새 동물에 대한 고객의 반응을 알고 싶어하며 고객이 제품을 즐기고 있는지 확인하고 향후 제품 아이디어에이 정보를 사용하고자합니다. 소셜 미디어 관리자는 피드백을 캡처해야합니다. 데이터가 수집 된 후, 회사는 비용 효율적이고 실제적인 방법으로 데이터를 분석하고 분류 할 수 있기를 원합니다. 어떻게 할 수 있니? 두 가지를 선택하십시오.
2 정답을 선택하십시오.
A. EMR을 사용하고 원시 데이터를 Amazon S3에 복사합니다. 장기 분석 및 과거 참조를 위해 원시 데이터가 Amazon S3에 저장됩니다.
B. 람다를 사용하여 데이터를 처리 및 정규화하고 Amazon ML에서 예측을 요청합니다. 데이터는 Lambda를 사용하여 Amazon SNS로 전송되고 추가 조사를 위해 전자 메일을 통해 전달됩니다.
C. Redshift를 사용하여 데이터를 처리 및 정규화하고 Amazon ML에서 예측을 요청합니다. Amazon SNS에 데이터가 전송되고 추가 조사를 위해 이메일을 통해 전달됩니다.
D. Amazon Kinesis Stream을 생성하고 하나의 Kinesis 스트림을 사용하여 원시 데이터를 Amazon S3에 복사합니다.
장기 분석 및 과거 참조를 위해 원시 데이터가 Amazon S3에 저장됩니다.
Answer: B,D
Explanation:
By using a combination of Amazon Kinesis Streams, Lambda, Amazon ML, and Amazon SES, we have created a scalable and easily customizable social listening platform. It is important to note that this picture does not depict the action of creating a ML model. This act would be done at least one time, but usually done on a regular basis to keep the model up to date. The frequency of creating a new model depends on the workload and is really only done to make the model more accurate when things change.
Reference:
https://d0.awsstatic.com/whitepapers/Big_Data_Analytics_Options_on_AWS.pdf

NEW QUESTION: 2
What is the output of the program if character "1" is supplied as input?
#include <iostream>
using namespace std;
int main () {
int c;
cin >> c;
try
{
switch (c)
{
case 1:
throw 20;
case 2:
throw 5.2f;
case 3:
throw 'a';
}
}
catch (int e)
{ cout << "int exception. Exception Nr. " << e; }
catch (float e)
{ cout << "float exception. Exception Nr. " << e; }
catch (...)
{ cout << "An exception occurred."; }
return 0;
}
A. Compilation Error
B. It prints: An exception occurred
C. It prints: float exception. Exception Nr. 5.2
D. It prints: int exception. Exception Nr. 20
Answer: D

NEW QUESTION: 3
ソリューションのストレージを設計する必要があります。
どのストレージサービスをお勧めしますか？ 回答するには、回答領域で適切な構成を選択します。
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

Images: Azure Data Lake Storage
Scenario: Image data must be stored in a single data store at minimum cost.
Customer data: Azure Blob Storage
Scenario: Customer data must be analyzed using managed Spark clusters.
Spark clusters in HDInsight are compatible with Azure Storage and Azure Data Lake Storage.
Azure Storage includes these data services: Azure Blob, Azure Files, Azure Queues, and Azure Tables.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-overview
Topic 3, Case study 2
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other question on this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next sections of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question on this case study, click the button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the button to return to the question.
Background
Current environment
The company has the following virtual machines (VMs):

Requirements
Storage and processing
You must be able to use a file system view of data stored in a blob.
You must build an architecture that will allow Contoso to use the DB FS filesystem layer over a blob store.
The architecture will need to support data files, libraries, and images. Additionally, it must provide a web-based interface to documents that contain runnable command, visualizations, and narrative text such as a notebook.
CONT_SQL3 requires an initial scale of 35000 IOPS.
CONT_SQL1 and CONT_SQL2 must use the vCore model and should include replicas. The solution must support 8000 IOPS.
The storage should be configured to optimized storage for database OLTP workloads.
Migration
* You must be able to independently scale compute and storage resources.
* You must migrate all SQL Server workloads to Azure. You must identify related machines in the on-premises environment, get disk size data usage information.
* Data from SQL Server must include zone redundant storage.
* You need to ensure that app components can reside on-premises while interacting with components that run in the Azure public cloud.
* SAP data must remain on-premises.
* The Azure Site Recovery (ASR) results should contain per-machine data.
Business requirements
* You must design a regional disaster recovery topology.
* The database backups have regulatory purposes and must be retained for seven years.
* CONT_SQL1 stores customers sales data that requires ETL operations for data analysis. A solution is required that reads data from SQL, performs ETL, and outputs to Power BI. The solution should use managed clusters to minimize costs. To optimize logistics, Contoso needs to analyze customer sales data to see if certain products are tied to specific times in the year.
* The analytics solution for customer sales data must be available during a regional outage.
Security and auditing
* Contoso requires all corporate computers to enable Windows Firewall.
* Azure servers should be able to ping other Contoso Azure servers.
* Employee PII must be encrypted in memory, in motion, and at rest. Any data encrypted by SQL Server must support equality searches, grouping, indexing, and joining on the encrypted data.
* Keys must be secured by using hardware security modules (HSMs).
* CONT_SQL3 must not communicate over the default ports
Cost
* All solutions must minimize cost and resources.
* The organization does not want any unexpected charges.
* The data engineers must set the SQL Data Warehouse compute resources to consume 300 DWUs.
* CONT_SQL2 is not fully utilized during non-peak hours. You must minimize resource costs for during non-peak hours.

NEW QUESTION: 4
Which of the following is not true about <activity> tag in AndroidManifest file?
A. Has an attribute that specifies the name of the Activity sub-class that implements the activity.
B. Contained in <application> tag.
C. Declares an activity that implements part of the application's visual user interface.
D. Declares a single hardware or software feature that is used by the application.
Answer: D

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