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NEW QUESTION: 1
Which type of VPN requires a full mesh of virtual circuits to provide optimal site-to-site connectivity?
A. GET VPNs
B. peer-to-peer VPNs
C. MPLS Layer 3 VPNs
D. Layer 2 overlay VPNs
Answer: D
Explanation:
Explanation/Reference:
Explanation:

http://etutorials.org/Networking/MPLS+VPN+Architectures/Part+2+MPLSbased+Virtual+Private+Networks/ Chapter+7.+Virtual+Private+Network+VPN+Implementation+Options/Overlay+and+Peer-to-peer+VPN
+Model/
Two VPN implementation models have gained widespread use:
The overlay model, where the service provider provides emulated leased lines to the customer.
The service provider provides the customer with a set of emulated leased lines. These leased lines are called VCs, which can be either constantly available (PVCs) or established on demand (SVCs). The QoS guarantees in the overlay VPN model usually are expressed in terms of bandwidth guaranteed on a certain VC (Committed Information Rate or CIR) and maximum bandwidth available on a certain VC (Peak Information Rate or PIR). The committed bandwidth guarantee usually is provided through the statistical nature of the Layer 2 service but depends on the overbooking strategy of the service provider The peer-to- peer model, where the service provider and the customer exchange Layer 3 routing information and the provider relays the data between the customer sites on the optimum path between the sites and without the customer's involvement. The peer-to-peer VPN model was introduced a few years ago to alleviate the drawbacks of the overlay VPN model. In the peer-to-peer model, the Provider Edge (PE) device is a router (PE-router) that directly exchanges routing information with the CPE router. The Managed Network service offered by many service providers, where the service provider also manages the CPE devices, is not relevant to this discussion because it's only a repackaging of another service. The Managed Network provider concurrently assumes the role of the VPN
service provider (providing the VPN infrastructure) and part of the VPN customer role (managing the CPE device).
The peer-to-peer model provides a number of advantages over the traditional overlay model:
Routing (from the customer's perspective) becomes exceedingly simple, as the customer router exchanges routing information with only one (or a few) PE-router, whereas in the overlay VPN network, the number of neighbor routers can grow to a large number.
Routing between the customer sites is always optimal, as the provider routers know the customer's network topology and can thus establish optimum inter-site routing.
Bandwidth provisioning is simpler because the customer has to specify only the inbound and outbound bandwidths for each site (Committed Access Rate [CAR] and Committed Delivery Rate [CDR]) and not the exact site-to-site traffic profile.
The addition of a new site is simpler because the service provider provisions only an additional site and changes the configuration on the attached PE-router. Under the overlay VPN model, the service provider must provision a whole set of VCs leading from that site to other sites of the customer VPN.
Prior to an MPLS-based VPN implementation, two implementation options existed for the peer-to-peer VPN model:
The shared-router approach, where several VPN customers share the same PE-router.
The dedicated-router approach, where each VPN customer has dedicated PE-routers.
Overlay VPN paradigm has a number of drawbacks, most significant of them being the need for the customer to establish point-to-point links or virtual circuits between sites. The formula to calculate how many point-to-point links or virtual circuits you need in the worst case is ((n)(n-1))/2, where n is the number of sites you need to connect. For example, if you need to have full-mesh connectivity between 4 sites, you will need a total of 6 point-to-point links or virtual circuits. To overcome this drawback and provide the customer with optimum data transport across the Service Provider backbone, the peer-to-peer VPN concept was introduced where the Service Provider actively participates in the customer routing, accepting customer routes, transporting them across the Service Provider backbone and finally propagating them to other customer sites.

NEW QUESTION: 2
非常に大きなバッチデータ処理ジョブを1日に1回実行する必要があります。ソースデータは完全にS3に存在し、処理ジョブの出力も終了時にS3に書き込む必要があります。この処理ジョブとシステムのすべてのセットアップおよびティアダウンロジックをバージョン管理する必要がある場合、どのアプローチを使用する必要がありますか？
A. AWS CLI ComposerでAWS EMRジョブをモデル化します。
B. AWS CloudFormationでAWS EMRジョブをモデル化します。
C. AWS Elastic BeanstalkでAWS EMRジョブをモデル化します。
D. AWS OpsWorksでAWS EMRジョブをモデル化します。
Answer: B
Explanation:
To declaratively model build and destroy of a cluster, you need to use AWS CloudFormation.
OpsWorks and Elastic Beanstalk cannot directly model EMR Clusters. The CLI is not declarative, and CLI Composer does not exist.
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-emr- cluster.html

NEW QUESTION: 3
A protection mechanism to limit inferencing of information in statistical
database queries is:
A. Specifying a maximum query set size
B. Specifying a maximum query set size, but prohibiting the querying of all but one of the records in the database
C. Specifying a minimum query set size
D. Specifying a minimum query set size, but prohibiting the querying of all but one of the records in the database
Answer: D
Explanation:
When querying a database for statistical information, individually identifiable information should be protected. Thus, requiring a minimum size for the query set (greater than one) offers protection against gathering information on one individual. However, an attack may consist of gathering statistics on a query set size M, equal to or greater than the minimum query set size, and then requesting the same statistics on a query set size of M + 1. The second query set would be designed to include the individual whose information is being sought surreptitiously.
*Thus with answer "Specifying a minimum query set size, but prohibiting the querying of all but one of the records in the database", this type of attack could not take place.
* Answer "Specifying a minimum query set size" is, therefore, incorrect since it leaves open the loophole of the M+1 set size query. Answers "Specifying a maximum query set size" and "Specifying a maximum query set size, but prohibiting the querying of all but one of the records in the database" are incorrect since the critical metric is the minimum query set size and not the maximum size. Obviously, the maximum query set size cannot be set to a value less than the minimum set size.