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NEW QUESTION: 1
ORD_ITEMSテーブルのデータを調べます。
ORD_NO ITEM_NO QTY
-------------------------------------------
1 111 10
1 222 20
1 333 30
2 333 30
2 444 40
3 111 40
次のクエリを評価します。
SQL> SELECT item_no、AVG（qty）
FROM ord_items
HAVING AVG（qty）> MIN（qty）* 2
GROUP BY item_no;
上記のクエリの結果に関して正しい説明はどれですか。
A. GROUP BY句の後にHAVING句を指定する必要があるため、エラーが発生します。
B. 平均数量がテーブル内のすべてのアイテムの全体的な最小数量の2倍を超える場合、平均数量とともにアイテム番号を表示します。
C. HAVING句で使用されるすべての集約関数をSELECTリストで指定する必要があるため、エラーが発生します。
D. 平均数量がテーブル内のそのアイテムの最小数量の2倍を超える場合、平均数量とともにアイテム番号を表示します。
Answer: D

NEW QUESTION: 2
A USB can do open station task to multiple base stations.
A. False
B. True
Answer: B

NEW QUESTION: 3
You have an application consisting of a stateless web server tier running on Amazon EC2 instances behind load balancer, and are using Amazon RDS with read replicas. Which of the following methods should you use to implement a self-healing and cost-effective architecture?
Choose 2 answers from the optionsgiven below
A. Set up an Auto Scalinggroup for the web server tier along with an Auto Scaling policy that uses the Amazon EC2 CPU utilization CloudWatch metric to scale the instances.
B. Use a larger Amazon EC2 instance type for the web server tier and a larger DB instance type for the data storage layer to ensure that they don't become unhealthy.
C. Set up an Auto Scalinggroup for the web server tier along with an Auto Scaling policy that uses the Amazon RDS DB CPU utilization Cloud Watch metric to scale the instances.
D. Set up a third-party monitoring solution on a cluster of Amazon EC2 instances in order to emit custom Cloud Watch metrics to trigger the termination of unhealthy Amazon EC2 instances.
E. Set up an Auto Scalinggroup for the database tier along with an Auto Scaling policy that uses the Amazon RDS read replica lag CloudWatch metric to scale out the Amazon RDS read replicas.
F. Set up scripts on each Amazon EC2 instance to frequently send ICMP pings to the load balancer in order to determine which instance is unhealthy and replace it.
G. Use an Amazon RDS Multi-AZ deployment.
Answer: A,G
Explanation:
The scaling of CC2 Instances in the Autoscaling group is normally done with the metric of the CPU utilization of the current instances in the Autoscaling group For more information on scaling in your Autoscaling Group, please refer to the below link:
http://docs.aws.a mazon.com/autoscaling/latest/userguide/as-scaling-si mple-step.html Amazon RDS Multi-AZ deployments provide enhanced availability and durability for Database (DB) Instances, making them a natural fit for production database workloads. When you provision a Multi- AZ DB Instance, Amazon RDS automatically creates a primary DB Instance and synchronously replicates the data to a standby instance in a different Availability Zone (AZ). Cach AZ runs on its own physically distinct, independent infrastructure, and is engineered to be highly reliable. In case of an infrastructure failure, Amazon RDS performs an automatic failover to the standby for to a read replica in the case of Amazon Aurora), so that you can resume database operations as soon as the failover is complete. For more information on RDS Multi-AZ please refer to the below link:
https://aws.amazon.com/rds/details/multi-az/
Option A is invalid because if you already have in-built metrics from Cloudwatch, why would you want to spend more in using a a third-party monitoring solution.
Option B is invalid because health checks are already a feature of AWS CLB Option C is invalid because the database CPU usage should not be used to scale the web tier.
Option C is invalid because increasing the instance size does not always guarantee that the solution will not become unhealthy.
Option F is invalid because increasing Read-Replica's will not suffice for write operations if the primary DB fails.

NEW QUESTION: 4
Your network contains several secured subnets that are disconnected from the Internet. One of the secured subnets contains a server named Server1 that runs Windows Server 2016. You implement Log Analytics in Microsoft Operations Management Suite (OMS) for the servers that connect to the Internet. You need to ensure that Log Analytics can collect logs from Server1. Which two actions should you perform? Each correct answer presents part of the solution.
A. Install the OMS Log Analytics Forwarder on a server that has Internet connectivity.
B. Install Microsoft Monitoring Agent on Server1.
C. Install the OMS Log Analytics Forwarder on Server1.
D. Create an event subscription on a server that has Internet connectivity.
E. Create a scheduled task on Server1.
Answer: A,B
Explanation:
https://docs.microsoft.com/en-us/azure/log-analytics/log-analytics-oms-gateway OMS Log Analytics Forwarder = OMS Gateway If your IT security policies do not allow computers on your network to connect to the Internet, such as point of sale (POS) devices, or servers supporting IT services, but you need to connect them to OMS to manage and monitor them, they can be configured to communicate directly with the OMS Gateway (previous called "OMS Log Analytics Fowarder") to receive configuration and forward data on their behalf. You have to also install Microsoft Monitoring Agent on Server1 to generate and send events to the OMS Gateway,since Server1 does not have direct Internet connectivity.