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NEW QUESTION: 1
展示を表示して、EMPLOYEESテーブルの説明を調べます。

各従業員の総報酬を計算するとします。総報酬は、年間給与と1年間に獲得した手数料率の合計です。数人の従業員だけがコミッションを稼いでいます。
目的の出力を得るためにどのSQLステートメントを実行しますか？
A. SELECT first_name、salary、salary * 12 + NVL（salary、0）* commission_pct、 "Total" FROM EMPLOYEES;
B. SELECT first_name、salary、salary * 12 + salary * commission_pct "Total" FROM EMPLOYEES;
C. SELECT first_name、salary（salary + NVL（commission_pct、0）* salary）* 12 "Total" FROM EMPLOYEES;
D. SELECT first_name、salary、salary * 12 +（salary * NVL2（commission_pct、salary、salary + commission_pct）） "Total" FROM EMPLOYEES;
Answer: D

NEW QUESTION: 2
HOTSPOT
You are analyzing the performance of a database environment.
You need to find all unused indexes in the current database.
How should you complete the Transact-SOL statement? To answer, select the appropriate TransactSOL segments in the answer area.

Answer:
Explanation:

NEW QUESTION: 3
An auction website enables users to bid on collectible items. The auction rules require that each bid is processed only once and in the order it was received. The current implementation is based on a fleet of Amazon EC2 web servers that write bid records into Amazon Kinesis Data Streams.
A single t2.large instance has a cron job that runs the bid processor, which reads incoming bids from Kinesis Data Streams and processes each bid. The auction site is growing in popularity, but users are complaining that some bids are not registering.
Troubleshooting indicates that the bid processor is too slow during peak demand hours, sometimes crashes while processing, and occasionally loses track of which records is being processed. What changes should make the bid processing more reliable?
A. Switch the EC2 instance type from t2.large to a larger general compute instance type. Put the bid processor EC2 instances in an Auto Scaling group that scales out the number of EC2 instances running the bid processor, based on the IncomingRecords metric in Kinesis Data Streams.
B. Refactor the web application to use the Amazon Kinesis Producer Library (KPL) when posting bids to Kinesis Data Streams. Refactor the bid processor to flag each record in Kinesis Data Streams as being unread, processing, and processed. At the start of each bid processing run, scan Kinesis Data Streams for unprocessed records.
C. Refactor the web application to post each incoming bid to an Amazon SQS FIFO queue in place of Kinesis Data Streams. Refactor the bid processor to continuously the SQS queue. Place the bid processing EC2 instance in an Auto Scaling group with a minimum and a maximum size of 1.
D. Refactor the web application to post each incoming bid to an Amazon SNS topic in place of Kinesis Data Streams. Configure the SNS topic to trigger an AWS Lambda function that processes each bid as soon as a user submits it.
Answer: A

NEW QUESTION: 4

A. CHAP
B. PEAP
C. TACACS+
D. PAP
E. LEAP
Answer: A,D
Explanation:
PPP Authentication Methods
In this part we will learn more about two authentication methods used in Authentication
Phase of PPP.
PPP has two built-in security mechanisms which are Password Authentication Protocol
(PAP) and Challenge Handshake Authentication Protocol (CHAP).