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NEW QUESTION: 1
展示を表示して、ORDテーブルとORD_ITEMSテーブルの構造を調べます。
ORD_NO列はORDテーブルのPRIMARY KEYであり、ORD_NOおよびITEM_NO列はORD_ITEMSテーブルの複合PRIMARY KEYです。
どの2つのCREATE INDEXステートメントが有効ですか？ （2つ選択してください。）

A. CREATE INDEX ord_idx2ON ord_items（ord_no）;
B. CREATE INDEX ord_idx3ON ord_items（item_no）;
C. CREATE INDEX ord_idx4ON ord、ord_items（ord_no、ord_date、qty）;
D. CREATE INDEX ord_idx1ON ord（ord_no）;
Answer: A,B
Explanation:
How Are Indexes Created?
You can create two types of indexes.
Unique index: The Oracle server automatically creates this index when you define a column in a table to have a PRIMARY KEY or a UNIQUE constraint. The name of the index is the name that is given to the constraint.
Nonunique index: This is an index that a user can create. For example, you can create the FOREIGN KEY column index for a join in a query to improve the speed of retrieval.
Note: You can manually create a unique index, but it is recommended that you create a unique constraint, which implicitly creates a unique index.

NEW QUESTION: 2
A child possibly has pinworm infestation because he reported that he first felt:
A. scaly skin patches
B. anal itching
C. loose bowel movement
D. maculopapular rash
Answer: B
Explanation:
Explanation: With enterobiasis, the adult worm lays her eggs around the anal opening, producing an irritation and thus an itch.

NEW QUESTION: 3
CORRECT TEXT
Problem Scenario 22 : You have been given below comma separated employee information.
name,salary,sex,age
alok,100000,male,29
jatin,105000,male,32
yogesh,134000,male,39
ragini,112000,female,35
jyotsana,129000,female,39
valmiki,123000,male,29
Use the netcat service on port 44444, and nc above data line by line. Please do the following activities.
1. Create a flume conf file using fastest channel, which write data in hive warehouse directory, in a table called flumeemployee (Create hive table as well tor given data).
2. Write a hive query to read average salary of all employees.
Answer:
Explanation:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Create hive table forflumeemployee.'
CREATE TABLE flumeemployee
(
name string, salary int, sex string,
age int
)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY ',';
Step 2 : Create flume configuration file, with below configuration for source, sink and channel and save it in flume2.conf.
#Define source , sink , channel and agent,
agent1 .sources = source1
agent1 .sinks = sink1
agent1.channels = channel1
# Describe/configure source1
agent1.sources.source1.type = netcat
agent1.sources.source1.bind = 127.0.0.1
agent1.sources.source1.port = 44444
## Describe sink1
agent1 .sinks.sink1.channel = memory-channel
agent1.sinks.sink1.type = hdfs
agent1 .sinks.sink1.hdfs.path = /user/hive/warehouse/flumeemployee
hdfs-agent.sinks.hdfs-write.hdfs.writeFormat=Text
agent1 .sinks.sink1.hdfs.tileType = Data Stream
# Now we need to define channel1 property.
agent1.channels.channel1.type = memory
agent1.channels.channel1.capacity = 1000
agent1.channels.channel1.transactionCapacity = 100
# Bind the source and sink to the channel
Agent1 .sources.sourcel.channels = channell agent1 .sinks.sinkl.channel = channel1
Step 3 : Run below command which will use this configuration file and append data in hdfs.
Start flume service:
flume-ng agent -conf /home/cloudera/flumeconf -conf-file
/home/cloudera/flumeconf/flume2.conf --name agent1
Step 4 : Open another terminal and use the netcat service.
nc localhost 44444
Step 5 : Enter data line by line.
alok,100000.male,29
jatin,105000,male,32
yogesh,134000,male,39
ragini,112000,female,35
jyotsana,129000,female,39
valmiki,123000,male,29
Step 6 : Open hue and check the data is available in hive table or not.
step 7 : Stop flume service by pressing ctrl+c
Step 8 : Calculate average salary on hive table using below query. You can use either hive command line tool or hue. select avg(salary) from flumeemployee;

NEW QUESTION: 4
잠재적인 악용에 대한 시스템의 취약점을 이해하는데 가장 유용한 다음과 같은 평가 메트릭 중 어떤 것입니까?
A. 시스템에서 사용 가능한 서비스 수량 정량화
B. 특정 기간 동안 시스템이 안전하게 작동할 확률 결정
C. 장애 발생시 시스템 무결성 측정
D. 시스템 내의 보안 결함 수 확인
Answer: D