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NEW QUESTION: 1
You issue the following query:
SQL> SELECT AVG(MAX(qty))
FROM ord_items
GROUP BY item_no
HAVING AVG(MAX(qty))>50;
Which statement is true regarding the outcome of this query?
A. It gives an error because the HAVING clause is not valid.
B. It gives an error because the GROUP BY expression is not valid.
C. It executes successfully but does not give the correct output.
D. It executes successfully and gives the correct output.
Answer: A
Explanation:
The general form of the SELECT statement is further enhanced by the addition of the
HAVING clause and becomes:
SELECT column|expression|group_function(column|expression [alias]),...}
FROM table
[WHERE condition(s)]
[GROUP BY {col(s)|expr}]
[HAVING group_condition(s)]
[ORDER BY {col(s)|expr|numeric_pos} [ASC|DESC] [NULLS FIRST|LAST]];
An important difference between the HAVING clause and the other SELECT statement
clauses is that it may only be specified if a GROUP BY clause is present. This dependency
is sensible since group-level rows must exist before they can be restricted. The HAVING
clause can occur before the GROUP BY clause in the SELECT statement. However, it is
more common to place the HAVING clause after the GROUP BY clause. All grouping is
performed and group functions are executed prior to evaluating the HAVING clause.
NEW QUESTION: 2
A company has an on-premises monitoring solution using a PostgreSQL database for persistence of events.
The database is unable to scale due to heavy ingestion and it frequently runs out of storage.
The company wants to create a hybrid solution and has already set up a VPN connection between its network and AWS. The solution should include the following attributes:
*Managed AWS services to minimize operational complexity.
*A buffer that automatically scales to match the throughput of data and requires no ongoing administration.
*A visualization tool to create dashboards to observe events in near-real time.
*Support for semi-structured JSON data and dynamic schemas.
Which combination of components will enable the company to create a monitoring solution that will satisfy these requirements? (Select TWO.)
A. Use Amazon Kinesis Data Firehose to buffer events. Create an AWS Lambda function to process and transform events.
B. Configure an Amazon Aurora PostgreSQL DB cluster to receive events. Use Amazon QuickSight to read from the database and create near-real-time visualizations and dashboards.
C. Configure an Amazon Neptune DB instance to receive events. Use Amazon QuickSight to read from the database and create near-real-time visualizations and dashboards.
D. Create an Amazon Kinesis data stream to buffer events. Create an AWS Lambda function to process and transform events.
E. Configure Amazon Elasticsearch Service (Amazon ES) to receive events. Use the Kibana endpoint deployed with Amazon ES to create near-real-time visualizations and dashboards.
Answer: C,D
NEW QUESTION: 3
An entity prepares financial statements to 31 December each year. The following data applies:
1 December 20X0
* The entity purchased some inventory for $400,000.
* In order to protect the inventory against adverse changes in fair value the entity entered into a futures contract to sell the inventory for a fixed price on 31 January 20X1.
* The entity designated this contract as a fair value hedge of the value of the inventory.
31 December 20X0
* The inventory had a fair value of $480,000 and the futures contract had a fair value of $75,000 (a financial liability).
What will be the impact on the statement of profit or loss and other comprehensive income for the year ended 31 December 20X0 in respect of the change in the value of the inventory and the futures contract?
A. A net gain of $5,000 will be recognised in profit or loss.
B. A loss of $75,000 will be recognised in other comprehensive income.
C. A loss of $75,000 will be recognised in profit or loss.
D. A net gain of $5,000 will be recognised in other comprehensive income.
Answer: A
