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NEW QUESTION: 1

(Choose two.)

A. Option C
B. Option E
C. Option B
D. Option A
E. Option D
Answer: C,E

NEW QUESTION: 2
참고 :이 질문은 동일한 시나리오를 나타내는 일련의 질문 중 일부입니다. 시리즈의 각 질문에는 명시된 목표를 달성할수 있는 고유한 솔루션이 포함되어 있습니다. 일부 질문 세트에는 둘 이상의 올바른 솔루션이 있을 수 있지만 다른 질문 세트에는 올바른 솔루션이 없을 수 있습니다.
이 섹션의 질문에 대답 한 후에는 해당 질문으로 돌아올 수 없습니다. 결과적으로 이러한 질문은 검토 화면에 나타나지 않습니다.
Windows Server 2016을 실행하는 VM1이라는 Azure 가상 컴퓨터가 있습니다.
한 시간 내에 VM1의 시스템 로그에 둘 이상의 오류 이벤트가 기록되면 Azure에서 경고를 만들어야 합니다.
솔루션 : Azure Log Analytics 작업 영역을 만들고 데이터 설정을 구성합니다. VM1에 Microsoft Monitoring Agent를 설치합니다. Azure Monitor에서 경고를 만들고 Log Analytics 작업 영역을 소스로 지정합니다.
이것이 목표를 달성합니까?
A. 예
B. 아니요
Answer: A
Explanation:
Explanation
Alerts in Azure Monitor can identify important information in your Log Analytics repository. They are created by alert rules that automatically run log searches at regular intervals, and if results of the log search match particular criteria, then an alert record is created and it can be configured to perform an automated response.
The Log Analytics agent collects monitoring data from the guest operating system and workloads of virtual machines in Azure, other cloud providers, and on-premises. It collects data into a Log Analytics workspace.
References:
https://docs.microsoft.com/en-us/azure/azure-monitor/learn/tutorial-response
https://docs.microsoft.com/en-us/azure/azure-monitor/platform/agents-overview

NEW QUESTION: 3
CORRECT TEXT
Problem Scenario 12 : You have been given following mysql database details as well as other info.
user=retail_dba
password=cloudera
database=retail_db
jdbc URL = jdbc:mysql://quickstart:3306/retail_db
Please accomplish following.
1. Create a table in retailedb with following definition.
CREATE table departments_new (department_id int(11), department_name varchar(45), created_date T1MESTAMP DEFAULT NOW());
2 . Now isert records from departments table to departments_new
3 . Now import data from departments_new table to hdfs.
4 . Insert following 5 records in departmentsnew table. Insert into departments_new values(110, "Civil" , null); Insert into departments_new values(111, "Mechanical" , null);
Insert into departments_new values(112, "Automobile" , null); Insert into departments_new values(113, "Pharma" , null);
Insert into departments_new values(114, "Social Engineering" , null);
5. Now do the incremental import based on created_date column.
Answer:
Explanation:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Login to musql db
mysql --user=retail_dba -password=cloudera
show databases;
use retail db; show tables;
Step 2 : Create a table as given in problem statement.
CREATE table departments_new (department_id int(11), department_name varchar(45), createddate T1MESTAMP DEFAULT NOW()); show tables;
Step 3 : isert records from departments table to departments_new insert into departments_new select a.", null from departments a;
Step 4 : Import data from departments new table to hdfs.
sqoop import \
-connect jdbc:mysql://quickstart:330G/retail_db \
~ username=retail_dba \
-password=cloudera \
-table departments_new\
--target-dir /user/cloudera/departments_new \
--split-by departments
Stpe 5 : Check the imported data.
hdfs dfs -cat /user/cloudera/departmentsnew/part"
Step 6 : Insert following 5 records in departmentsnew table.
Insert into departments_new values(110, "Civil" , null);
Insert into departments_new values(111, "Mechanical" , null);
Insert into departments_new values(112, "Automobile" , null);
Insert into departments_new values(113, "Pharma" , null);
Insert into departments_new values(114, "Social Engineering" , null);
commit;
Stpe 7 : Import incremetal data based on created_date column.
sqoop import \
-connect jdbc:mysql://quickstart:330G/retaiI_db \
-username=retail_dba \
-password=cloudera \
--table departments_new\
-target-dir /user/cloudera/departments_new \
-append \
-check-column created_date \
-incremental lastmodified \
-split-by departments \
-last-value "2016-01-30 12:07:37.0"
Step 8 : Check the imported value.
hdfs dfs -cat /user/cloudera/departmentsnew/part"

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