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NEW QUESTION: 1
In which of the following database models is the data represented in terms of tulles and grouped into relations?
A. Hierarchical database model
B. Relational database model
C. Object-relational database model
D. Network database model
Answer: B
Explanation:
Explanation/Reference:
In the relational model of a database, all data is represented in terms of tulles, grouped into relations. A database organized in terms of the relational model is a relational database.
For your exam you should know below information about database models:
A database model is a type of data model that determines the logical structure of a database and fundamentally determines in which manner data can be stored, organized, and manipulated. The most popular example of a database model is the relational model, which uses a table-based format.
Common logical data models for databases include:
Hierarchical database model
Network model
Relational model
Object-relational database models
Hierarchical database model
In a hierarchical model, data is organized into a tree-like structure, implying a single parent for each record. A sort field keeps sibling records in a particular order. Hierarchical structures were widely used in the early mainframe database management systems, such as the Information Management System (IMS) by IBM, and now describe the structure of XML documents. This structure allows one one-to-many relationship between two types of data. This structure is very efficient to describe many relationships in the real world; recipes, table of contents, ordering of paragraphs/verses, any nested and sorted information.
This hierarchy is used as the physical order of records in storage. Record access is done by navigating through the data structure using pointers combined with sequential accessing. Because of this, the hierarchical structure is inefficient for certain database operations when a full path (as opposed to upward link and sort field) is not also included for each record. Such limitations have been compensated for in later IMS versions by additional logical hierarchies imposed on the base physical hierarchy.
Hierarchical database model
Image source: http://creately.com/blog/wp-content/uploads/2012/06/hierarchical-database-model.png Network database model
The network model expands upon the hierarchical structure, allowing many-to-many relationships in a tree-like structure that allows multiple parents. It was the most popular before being replaced by the relational model, and is defined by the CODASYL specification.
The network model organizes data using two fundamental concepts, called records and sets. Records contain fields (which may be organized hierarchically, as in the programming language COBOL). Sets (not to be confused with mathematical sets) define one-to-many[disambiguation needed] relationships between records: one owner, many members. A record may be an owner in any number of sets, and a member in any number of sets.
A set consists of circular linked lists where one record type, the set owner or parent, appears once in each circle, and a second record type, the subordinate or child, may appear multiple times in each circle. In this way a hierarchy may be established between any two record types, e.g., type A is the owner of B.
At the same time another set may be defined where B is the owner of A Thus all the sets comprise a general directed graph (ownership defines a direction), or network construct. Access to records is either sequential (usually in each record type) or by navigation in the circular linked lists.
The network model is able to represent redundancy in data more efficiently than in the hierarchical model, and there can be more than one path from an ancestor node to a descendant. The operations of the network model are navigational in style: a program maintains a current position, and navigates from one record to another by following the relationships in which the record participates. Records can also be located by supplying key values.
Network Database model
Source of Image:http://creately.com/blog/wp-content/uploads/2012/06/database-design-network- model.png
Relational database model
In the relational model of a database, all data is represented in terms of tulles, grouped into relations. A database organized in terms of the relational model is a relational database.
In the relational model, related records are linked together with a "key".
The purpose of the relational model is to provide a declarative method for specifying data and queries:
users directly state what information the database contains and what information they want from it, and let the database management system software take care of describing data structures for storing the data and retrieval procedures for answering queries.
Most relational databases use the SQL data definition and query language; these systems implement what can be regarded as an engineering approximation to the relational model. A table in an SQL database schema corresponds to a predicate variable; the contents of a table to a relation; key constraints, other constraints, and SQL queries correspond to predicates. However, SQL databases, including DB2, deviate from the relational model in many details, and Cod fiercely argued against deviations that compromise the original principles.
Relational database model
Image Source: http://www.datastax.com/docs/_images/relational_model.png Object-relational database Model
An object-relational database (ORD), or object-relational database management system (ORDBMS), is a database management system (DBMS) similar to a relational database, but with an object-oriented database model: objects, classes and inheritance are directly supported in database schemas and in the query language. In addition, just as with pure relational systems, it supports extension of the data model with custom data-types and methods.
Example of an object-oriented database model
An object-relational database can be said to provide a middle ground between relational databases and object-oriented databases (OODBMS). In object-relational databases, the approach is essentially that of relational databases: the data resides in the database and is manipulated collectively with queries in a query language; at the other extreme are OODBMSes in which the database is essentially a persistent object store for software written in an object-oriented programming language, with a programming API for storing and retrieving objects, and little or no specific support for querying.
The following were incorrect answers:
Hierarchical database model - In a hierarchical model, data is organized into a tree-like structure, implying a single parent for each record. A sort field keeps sibling records in a particular order.
Network database model-The network model expands upon the hierarchical structure, allowing many-to- many relationships in a tree-like structure that allows multiple parents.
Object-relational database models- An object-relational database can be said to provide a middle ground between relational databases and object-oriented databases (OODBMS). In object-relational databases, the approach is essentially that of relational databases: the data resides in the database and is manipulated collectively with queries in a query language; at the other extreme are OODBMSes in which the database is essentially a persistent object store for software written in an object-oriented programming language, with a programming API for storing and retrieving objects, and little or no specific support for querying.
The following reference(s) were/was used to create this question:
CISA review manual 2014 Page number 254
NEW QUESTION: 2
In wireless communication, which of the following controls allows the device receiving the communications to verify that the received communications have not been altered in transit?
A. The use of cryptographic hashes
B. Wireless intrusion detection (IDS) and prevention systems (IPS)
C. Device authentication and data origin authentication
D. Packet headers and trailers
Answer: A
Explanation:
Explanation/Reference:
Explanation:
Calculating cryptographic hashes for wireless communications allows the device receiving the communications to verify that the received communications have not been altered in transit. This prevents masquerading and message modification attacks. Device authentication and data origin authentication is not the correct answer since authenticating wireless endpoints to each other prevents man-in-the-middle attacks and masquerading. Wireless iDS/lPSs is not the correct answer since wireless IDS/lPSshave the ability to detect misconfigured devices and rogue devices, and detect and possibly stop certain types of attacks. Packet headers and trailers alone do not ensure that the content has not been altered.
NEW QUESTION: 3
決定木アルゴリズムを使用しています。次のツリー深度で一般化するモデルを訓練しました。
10。
さまざまなツリー深度値を持つモデルのバイアスおよび分散プロパティを選択する必要があります。
各ツリーの深さに対してどのプロパティを選択する必要がありますか？回答するには、回答エリアで適切なオプションを選択します。
Answer:
Explanation:
説明
In decision trees, the depth of the tree determines the variance. A complicated decision tree (e.g. deep) has low bias and high variance.
Note: In statistics and machine learning, the bias-variance tradeoff is the property of a set of predictive models whereby models with a lower bias in parameter estimation have a higher variance of the parameter estimates across samples, and vice versa. Increasing the bias will decrease the variance. Increasing the variance will decrease the bias.
参照：
https://machinelearningmastery.com/gentle-introduction-to-the-bias-variance-trade-off-in-machine-learning/
NEW QUESTION: 4
A VPLS has a service MTU of 1600. To create an IES spoke termination to the VPLS, what ip-mtu value must be used for the IES?
A. 0
B. 1
C. 2
D. 3
Answer: D
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