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NEW QUESTION: 1
企業がAWSクラウドでパブリックウェブアプリケーションを起動する準備をしています。アーキテクチャは、Elastic Load Balancer（ELB）の背後にあるVPC内のAmazon EC2インスタンスで構成されています。 DNSにはサードパーティのサービスが使用されます。同社のソリューションアーキテクトは、大規模なDDoS攻撃を検出して防御するソリューションを推奨する必要があります。これらの要件を満たすソリューションはどれですか。
A. AWSシールドを有効にして、Amazon Route 53を割り当てます。
B. EC2インスタンスでAmazon Inspectorを有効にする
C. AWS Shield Advancedを有効にして、ELBを割り当てます
D. アカウントでAmazon GuardDutyを有効にします
Answer: A
NEW QUESTION: 2
You are the administrator of your company network. And now you??re in charge of SQL Server 2008 Analysis Services (SSAS) data mining. You create a data mining solution which collects data from three different operational source systems. You noticed that when the operational source systems are accessed directly, performance problems occur. During the off-duty time, the solution is updated continuously by using current data on a daily basis. What should you do to integrate data for the data mining solution without causing performance problems?
A. You should create Views in SQL Server 2008 to join the tables of all the operational source systems by using Linked Servers and create the data mining solution to
B. You should build a staging area to collect data from all the operational source systems by using SQL Server 2008 Integration Services (SSIS) and build the data
C. You should create Views in SQL Server 2008 to join the tables of all the operational source systems by using Open Rowset queries and build the data mining
D. You should integrate all the operational source systems in a Data Source View of the data mining solution and collect data directly from the operational source
Answer: B
NEW QUESTION: 3
Many approaches to Knowledge Discovery in Databases (KDD) are used to identify valid and useful patterns in data. This is an evolving field of study that includes a variety of automated analysis solutions such as Data Mining. Which of the following is not an approach used by KDD?
A. Deviation
B. Oriented
C. Classification
D. Probabilistic
Answer: B
Explanation:
Explanation/Reference:
Explanation:
Oriented is not a KDD approach.
The following are three approaches used in KDD systems to uncover these patterns:
Classification - Data are grouped together according to shared similarities.
Probabilistic - Data interdependencies are identified and probabilities are applied to their relationships.
Statistical - Identifies relationships between data elements and uses rule discovery.
Another fourth data mining technique is deviation detection: find the record(s) that is (are) the most different from the other records, i.e., find all outliers. These may be thrown away as noise or may be the
"interesting" ones.
Incorrect Answers:
A: Probabilistic is a KDD approach where data interdependencies are identified and probabilities are applied to their relationships.
C: deviation detection is a KDD approach where the records that are the most different from the other records, i.e., find all outliers, are found.
D: Classification is a KDD approach which identifies relationships between data elements and uses rule discovery.
References:
Conrad, Eric, Seth Misenar and Joshua Feldman, CISSP Study Guide, 2nd Edition, Syngress, Waltham,
2012, p. 1368
https://en.wikipedia.org/wiki/Data_mining