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NEW QUESTION: 1
View the Exhibit and examine the structure of the ORDERS and CUSTOMERS tables.

Evaluate the following SQL command:
SQL> SELECT o.order_id, c.cust_name, o.order_total, c.credit_limit FROM orders o JOIN customers c USING (customer_id) WHERE o.order_total > c.credit_limit FOR UPDATE ORDER BY o.order_id;
Which two statements are true regarding the outcome of the above query? (Choose two.)
A. It locks all the rows that satisfy the condition in the statement.
B. The locks are released after a DML statement is executed on the locked rows.
C. The locks are released only when a COMMIT or ROLLBACK is issued.
D. It locks only the columns that satisfy the condition in both the tables.
Answer: A,C
Explanation:
FOR UPDATE Clause in a SELECT Statement
Locks the rows in the EMPLOYEES table where job_id is SA_REP.
Lock is released only when you issue a ROLLBACK or a COMMIT.
If the SELECT statement attempts to lock a row that is locked by another user, the database
waits until the row is available, and then returns the results of the
SELECTstatement
SELECT employee_id, salary, commission_pct, job_id
FROM employees
WHERE job_id = 'SA_REP'
FOR UPDATE
ORDER BY employee_id;

NEW QUESTION: 2
Which font format can contain more than 65,000 glyphs in a single font file?
A. TrueType
B. Open Type
C. Type 1
D. Type 3
Answer: B

NEW QUESTION: 3
회사는 신속한 복구를 위해 온 프레미스 애플리케이션이 이러한 백업에 대한 액세스를 유지하도록 보장하면서 온 프레미스 데이터베이스 서버를위한 내구성있는 백업 스토리지 솔루션이 필요합니다. 회사는 이러한 백업의 대상으로 AWS 스토리지 서비스를 사용할 것입니다. 솔루션 설계자는 최소한의 운영 오버 헤드로 솔루션을 설계하고 있습니다. 솔루션 설계자는 어떤 솔루션을 구현해야 합니까?
A. AWS Storage Gateway 파일 게이트웨이를 온 프레미스에 배포하고 Amazon S3 버킷과 연결
B. 데이터베이스를 AWS Snowball 디바이스에 직접 백업하고 수명주기 규칙을 사용하여 데이터를 Amazon S3 Glacier Deep Archive로 이동합니다.
C. 데이터베이스 백업 파일을 Amazon EC2 인스턴스에 연결된 Amazon Elastic Block Store (Amazon EBS) 볼륨으로 전송합니다.
D. 데이터베이스를 AWS Storage Gateway 볼륨 게이트웨이에 백업하고 Amazon S3 API를 사용하여 액세스합니다.
Answer: A
Explanation:
Explanation
Network Load Balancer overview
A Network Load Balancer functions at the fourth layer of the Open Systems Interconnection (OSI) model. It can handle millions of requests per second. After the load balancer receives a connection request, it selects a target from the target group for the default rule. It attempts to open a TCP connection to the selected target on the port specified in the listener configuration.
When you enable an Availability Zone for the load balancer, Elastic Load Balancing creates a load balancer node in the Availability Zone. By default, each load balancer node distributes traffic across the registered targets in its Availability Zone only. If you enable cross-zone load balancing, each load balancer node distributes traffic across the registered targets in all enabled Availability Zones. For more information, see Availability Zones.
If you enable multiple Availability Zones for your load balancer and ensure that each target group has at least one target in each enabled Availability Zone, this increases the fault tolerance of your applications. For example, if one or more target groups does not have a healthy target in an Availability Zone, we remove the IP address for the corresponding subnet from DNS, but the load balancer nodes in the other Availability Zones are still available to route traffic. If a client doesn't honor the time-to-live (TTL) and sends requests to the IP address after it is removed from DNS, the requests fail.
For TCP traffic, the load balancer selects a target using a flow hash algorithm based on the protocol, source IP address, source port, destination IP address, destination port, and TCP sequence number. The TCP connections from a client have different source ports and sequence numbers, and can be routed to different targets. Each individual TCP connection is routed to a single target for the life of the connection.
For UDP traffic, the load balancer selects a target using a flow hash algorithm based on the protocol, source IP address, source port, destination IP address, and destination port. A UDP flow has the same source and destination, so it is consistently routed to a single target throughout its lifetime. Different UDP flows have different source IP addresses and ports, so they can be routed to different targets.
An Auto Scaling group contains a collection of Amazon EC2 instances that are treated as a logical grouping for the purposes of automatic scaling and management. An Auto Scaling group also enables you to use Amazon EC2 Auto Scaling features such as health check replacements and scaling policies. Both maintaining the number of instances in an Auto Scaling group and automatic scaling are the core functionality of the Amazon EC2 Auto Scaling service.
The size of an Auto Scaling group depends on the number of instances that you set as the desired capacity.
You can adjust its size to meet demand, either manually or by using automatic scaling.
An Auto Scaling group starts by launching enough instances to meet its desired capacity. It maintains this number of instances by performing periodic health checks on the instances in the group. The Auto Scaling group continues to maintain a fixed number of instances even if an instance becomes unhealthy. If an instance becomes unhealthy, the group terminates the unhealthy instance and launches another instance to replace it.
https://docs.aws.amazon.com/elasticloadbalancing/latest/network/introduction.html
https://docs.aws.amazon.com/autoscaling/ec2/userguide/AutoScalingGroup.html