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NEW QUESTION: 1
A company is using an AWS CloudFormation template to deploy web applications. The template requires that manual changes be made for each of the three major environments: production, staging, and development. The current sprint includes the new implementation and configuration of AWS CodePipeline for automated deployments.
What changes should the DevOps Engineer make to ensure that the CloudFormation template is reusable across multiple pipelines?
A. Set up a CodePipeline pipeline for each environment to use input parameters. Use CloudFormation mappings to switch associated UserData for the Amazon EC2 instances to match the environment being launched.
B. Set up a CodePipeline pipeline that has multiple stages, one for each development environment.
Use AWS Lambda functions to trigger CloudFormation deployments to dynamically alter the UserData of the Amazon EC2 instances launched in each environment.
C. Use a CloudFormation custom resource to query the status of the CodePipeline to determine which environment is launched. Dynamically alter the launch configuration of the Amazon EC2 instances.
D. Use CloudFormation input parameters to dynamically alter the LaunchConfiguration and UserData sections of each Amazon EC2 instance every time the CloudFormation stack is updated.
Answer: D
Explanation:
You cannot include parameters, pseudo parameters, or intrinsic functions in the Mappings section.
Answer B sounds to me as if they want to put parameters in the mappings to use within the template.
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/mappings-section- structure.html
NEW QUESTION: 2
You have two tables as shown in the following image:
You need to analyze the following query. (Line numbers are included for reference only.)
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
To compare char(5) and nchar(5) an implicit conversion has to take place.
Explicit conversions use the CAST or CONVERT functions, as in line number 6.
References:
https://docs.microsoft.com/en-us/sql/t-sql/data-types/data-type-conversion-database-engine#implicit-and-explicit
NEW QUESTION: 3
Service Consumer A sends a request message to Service A (1), after which Service A sends a request message to Service B (2). Service B forwards the message to have its contents calculated by Service C (3). After receiving the results of the calculations via a response message from Service C (4), Service B then requests additional data by sending a request message to Service D (5). Service D retrieves the necessary data from Database A (6), formats it into an XML document, and sends the response message containing the XML-formatted data to Service B (7).
Service B appends this XML document with the calculation results received from Service C, and then records the entire contents of the XML document into Database B (8). Finally, Service B sends a response message to Service A (9) and Service A sends a response message to Service Consumer A (10).
Services A, B and D are agnostic services that belong to Organization A and are also being reused in other service compositions. Service C is a publicly accessible calculation service that resides outside of the organizational boundary. Database A is a shared database used by other systems within Organization A and Database B is dedicated to exclusive access by Service B.
Service B has recently been experiencing a large increase in the volume of incoming request messages. It has been determined that most of these request messages were auto-generated and not legitimate. As a result, there is a strong suspicion that the request messages originated from an attacker attempting to carry out denial-of-service attacks on Service B.
Additionally, several of the response messages that have been sent to Service A from Service B contained URI references to external XML schemas that would need to be downloaded in order to parse the message data. It has been confirmed that these external URI references originated with data sent to Service B by Service C.
The XML parser currently being used by Service A is configured to download any required XML schemas by default. This configuration cannot be changed.
What steps can be taken to improve the service composition architecture in order to avoid future denial-of-service attacks against Service B and to further protect Service A from data access-oriented attacks?
A. Apply the Data Origin Authentication pattern so that Service B can verify that request messages that claim to have been sent by Service A actually did originate from Service A.
Apply the Message Screening pattern to add logic to Service A so that it can verify that external URIs in response messages from Service B refer to trusted sources.
B. Apply the Direct Authentication pattern so that Service C is required to provide security credentials, such as Username tokens, with any response messages it sends to Service B.
Furthermore, add logic to Service A so that it can validate security credentials passed to it via response messages from Service B.
by using an identity store that is shared by Services A and B.
C. Apply the Service Perimeter Guard pattern to establish a perimeter service between Service B and Service C.
Apply the Brokered Authentication pattern by turning the perimeter service into an authentication broker that is capable of ensuring that only legitimate response messages are being sent to Service C from Service B Further apply the Data Origin Authentication pattern to enable the perimeter service to verify that messages that claim to have been sent by Service C actually originated from Service C.
Apply the Message Screening pattern to add logic to the perimeter service to also verify that URIs in request messages are validated against a list of permitted URIs from where XML schema downloads have been pre-approved.
D. Apply the Service Perimeter Guard pattern and the Message Screening pattern together to establish a service perimeter guard that can filter response messages from Service C before they reach Services A and B.
The filtering rules are based on the IP address of Service C.
If a request message originates from an IP address not listed as one of the IP addresses associated with Service C.
then the response message is rejected.
Answer: A