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NEW QUESTION: 1
Where could you write code to change the color of a JSF input text component if the value of the salary
field on the same page is higher than a fixed value? (Choose the best answer.)
A. in a backing bean
B. in the validation for the view object's salary attribute
C. in a custom validator defined at the field level
D. in the CSS file that defines the skin for the application
Answer: C
Explanation:
Explanation/Reference:
In JSF, there is no official way to validate multiple components or fields. To solve it, you need to create a
custom validator.
References: http://www.mkyong.com/jsf2/multi-components-validator-in-jsf-2-0/

NEW QUESTION: 2
Which Oracle Cloud Infrastructure (OCI) service can be used to protect sensitive and regulated data in OCI database services?
A. Oracle Data Guard
B. Oracle Data Safe
C. OCI Audit
D. OCI OS management
Answer: B
Explanation:
Explanation
Oracle Data Safe is a unified control center for your Oracle databases which helps you understand the sensitivity of your data, evaluate risks to data, mask sensitive data, implement and monitor security controls, assess user security, monitor user activity, and address data security compliance requirements.
Whether you're using an Autonomous Database or an Oracle DB system, Oracle Data Safe delivers essential data security capabilities as a service on Oracle Cloud Infrastructure.
Features of Oracle Data Safe:
Oracle Data Safe provides the following set of features for protecting sensitive and regulated data in Oracle Cloud databases, all in a single, easy-to-use management console:
1) Security Assessment helps you assess the security of your cloud database configurations. It analyzes database configurations, user accounts, and security controls, and then reports the findings with recommendations for remediation activities that follow best practices to reduce or mitigate risk.
2) User Assessment helps you assess the security of your database users and identify high risk users. It reviews information about your users in the data dictionary on your target databases, and calculates a risk score for each user. For example, it evaluates the user types, how users are authenticated, the password policies assigned to each user, and how long it has been since each user has changed their password. It also provides a direct link to audit records related to each user. With this information, you can then deploy appropriate security controls and policies.
3) Data Discovery helps you find sensitive data in your cloud databases. You tell Data Discovery what kind of sensitive data to search for, and it inspects the actual data in your database and its data dictionary, and then returns to you a list of sensitive columns. By default, Data Discovery can search for a wide variety of sensitive data pertaining to identification, biographic, IT, financial, healthcare, employment, and academic information.
4) Data Masking provides a way for you to mask sensitive data so that the data is safe for non-production purposes. For example, organizations often need to create copies of their production data to support development and test activities. Simply copying the production data exposes sensitive data to new users. To avoid a security risk, you can use Data Masking to replace the sensitive data with realistic, but fictitious data.
5) Activity Auditing lets you audit user activity on your databases so you can monitor database usage and be alerted of unusual database activities.

NEW QUESTION: 3
Drag and drop each IS-IS router type from the left onto the best matching OSPF router type on the right.
Select and Place:

Answer:
Explanation:

Explanation