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NEW QUESTION: 1
Answer:
Explanation:
Explanation:
The entities on the many side, of the 1-many relations, must be added before we add the entities on the 1-side.
We must insert new rows into BusinessEntityContact and BusinessEntityAddress tables, before we insert the corresponding rows into the BusinessEntity and AddressType tables.
NEW QUESTION: 2
Bob은 EC2 서비스에 액세스 할 수있는 IAM 사용자입니다. 관리자는 IAM을 포함한 모든 AWS 서비스에 액세스 할 수있는 IAM 사용자입니다. Bob이 비밀번호를 변경할 수 있습니까?
A. 예. AWS 콘솔에서만
B. 예. 관리자가 Bob에게 비밀번호 변경 권한을 부여한 경우
C. 예. AWS CLI에서만
D. 아니요, IAM 사용자는 절대 비밀번호를 변경할 수 없습니다
Answer: B
Explanation:
설명:
기본적으로 IAM 사용자는 비밀번호를 변경할 수 없습니다. 루트 소유자 또는 IAM 관리자는 비밀번호 정책 페이지에서 정책을 설정해야하며,이를 통해 사용자는 비밀번호를 변경할 수 있습니다. 활성화되면 IAM 사용자는 항상 AWS 콘솔 또는 CLI에서 비밀번호를 변경할 수 있습니다.
http://docs.aws.amazon.com/IAM/latest/UserGuide/Using_ManagingUserPwdSelf.html
NEW QUESTION: 3
You are developing a MapReduce job for sales reporting. The mapper will process input keys representing the year (IntWritable) and input values representing product indentifies (Text).
Indentify what determines the data types used by the Mapper for a given job.
A. The data types specified in HADOOP_MAP_DATATYPES environment variable
B. The key and value types specified in the JobConf.setMapInputKeyClass and JobConf.setMapInputValuesClass methods
C. The mapper-specification.xml file submitted with the job determine the mapper's input key and value types.
D. The InputFormat used by the job determines the mapper's input key and value types.
Answer: D
Explanation:
The input types fed to the mapper are controlled by the InputFormat used. The default input format, "TextInputFormat," will load data in as (LongWritable, Text) pairs. The long value is the byte offset of the line in the file. The Text object holds the string contents of the line of
the file.
Note: The data types emitted by the reducer are identified by setOutputKeyClass()
andsetOutputValueClass(). The data types emitted by the reducer are identified by
setOutputKeyClass() and setOutputValueClass().
By default, it is assumed that these are the output types of the mapper as well. If this is not the
case, the methods setMapOutputKeyClass() and setMapOutputValueClass() methods of the
JobConf class will override these.
Reference: Yahoo! Hadoop Tutorial, THE DRIVER METHOD
NEW QUESTION: 4
The following data have been extracted from the financial statements of a firm for two years, 1993 and
1994:
1993 1994
Assets 10,895 12,444
Sales 8,465 9,275
Inventory 3,126 3,549
COGS 7,120 7,387
The average inventory processing period for 1994 equals ________.
A. 164.9 days
B. 223.6 days
C. 198.2 days
D. 114.7 days
Answer: A
Explanation:
Explanation/Reference:
Explanation:
This can be estimated using either net sales (as is the case with receivables) or the cost-of-goods- sold.
COGS is preferable since it does not include the profit margins involved in net sales.
Therefore, two relevant ratios are:
a. Inventory turnover ratio = COGS/average inventory.
b. Average inventory processing period = 365/inventory turnover.
Typically, average inventory for a given year is taken to be the average of the ending values of the inventory for this year and the last year. For 1994, the average inventory equals (3549+3126)/2 = 3,338.
Inventory turnover ratio = 7,387/3,338 = 2.21. Average inventory processing period = 365/2.21 = 164.9 days.