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NEW QUESTION: 1

A. "Fn::Join" : [".", [ "http://", {"Ref" : "ElasticLoadBalancerDNSName"}]]
B. "Fn::Join" : ["". [ "http://", {"Fn::GetAtr" : [ "ElasticLoadBalancer","Url"]}]]
C. "Fn::Join" : ["". [ "http://", {"Ref" : "ElasticLoadBalancerUrl"}]]
D. "Fn::Join" : ["". [ "http://", {"Fn::GetAtr" : [ "ElasticLoadBalancer","DNSName"]}]]
Answer: D

NEW QUESTION: 2
An AWS Lambda function must access an external site by using a regularly rotated user name and password.
These items must be kept securely and cannot be stored in the function code.
What combination of AWS services can be used to accomplish this? (Choose two.)
A. Amazon GuardDuty
B. AWS Systems Manager Parameter Store
C. AWS Certificate Manager (ACM)
D. AWS Trusted Advisor
E. AWS KMS
Answer: B,E
Explanation:
Explanation
https://docs.aws.amazon.com/kms/latest/developerguide/services-parameter-store.html

NEW QUESTION: 3
Examine this table that contains over two million rows of data:
CREATE TABLE 'news_feed' (
.id'bigint (20) NOT NULL AUTO _INCREMENT,
.news _sources_id'varchar (11) NOT NULL,
.dataline' datetime NOT NULL,
.headline' varchar (256) NOT NULL,
.story' text NOT NULL,.tag varchar (32768) DEFAULT NULL,
PRIMARY KEY ('id')
KEY 'dateline' ( 'dateline')
)
Examine this query that returns 332 rows of date:
SELECT *
FROM news_feed
WHERE DATE(dateline)= '2013-01-01'
Which change would show the greatest improvement in the response time of the query?
A. Use the LIKE operator:
SELECT . . .WHERE dateline LIKE '2013-10-01&'
B. Use a date range comparison:
SELECT . . . WHERE dateline >= '2013-01' and dateline < '2013-01-02'
C. Use numeric equivalents for comparing the two dates:
SELECT. . .WHERE MOD(UNIX_TIMESTAMP (dateline), 86400 =UNIX_TIMESTAMP ('2013-01-01')
D. USE the DATEDIFF function:
SELECT . . . WHERE DATEDIFF (dateline, '2013-01-01') = 0
Answer: B

NEW QUESTION: 4
Case Study 5 - Wide World Importers
Background
Wide World Importers is moving all their datacenters to Azure. The company has developed several applications and services to support supply chain operations and would like to leverage serverless computing where possible.
Current environment
Windows Server 2016 virtual machine
This virtual machine (VM) runs Biz Talk Server 2016. The VM runs the following workflows:
* Ocean Transport - This workflow gathers and validates container information including container contents and arrival notices at various shipping ports.
* Inland Transport - This workflow gathers and validates trucking information including fuel usage, number of stops, and routes.
The VM supports the following REST API calls:
* Container API - This API provides container information including weight, contents, and other attributes.
* Location API - This API provides location information regarding shipping ports of call and truck stops.
* Shipping REST API - This API provides shipping information for use and display on the shipping website.
Shipping Data
The application uses MongoDB JSON document storage database for all container and transport information.
Shipping Web Site
The site displays shipping container tracking information and container contents. The site is located at http://shipping.wideworldimporters.com Proposed solution The on-premises shipping application must be moved to Azure. The VM has been migrated to a new Standard_D16s_v3 Azure VM by using Azure Site Recovery and must remain running in Azure to complete the BizTalk component migrations. You create a Standard_D16s_v3 Azure VM to host BizTalk Server. The Azure architecture diagram for the proposed solution is shown below:

Shipping Logic App
The Shipping Logic app must meet the following requirements:
* Support the ocean transport and inland transport workflows by using a Logic App.
* Support industry-standard protocol X12 message format for various messages including vessel content details and arrival notices.
* Secure resources to the corporate VNet and use dedicated storage resources with a fixed costing model.
* Maintain on-premises connectivity to support legacy applications and final BizTalk migrations.
Shipping Function app
Implement secure function endpoints by using app-level security and include Azure Active Directory (Azure AD).
REST APIs
The REST API's that support the solution must meet the following requirements:
* Secure resources to the corporate VNet.
* Allow deployment to a testing location within Azure while not incurring additional costs.
* Automatically scale to double capacity during peak shipping times while not causing application downtime.
* Minimize costs when selecting an Azure payment model.
Shipping data
Data migration from on-premises to Azure must minimize costs and downtime.
Shipping website
Use Azure Content Delivery Network (CDN) and ensure maximum performance for dynamic content while minimizing latency and costs.
Issues
Windows Server 2016 VM
The VM shows high network latency, jitter, and high CPU utilization. The VM is critical and has not been backed up in the past. The VM must enable a quick restore from a 7-day snapshot to include in-place restore of disks in case of failure.
Shipping website and REST APIs
The following error message displays while you are testing the website:

You need to migrate on-premises shipping data to Azure.
What should you use?
A. Azure Cosmos DB Data Migration tool (dt.exe)
B. Azure Database Migration service
C. Azure Migrate
D. AzCopy
Answer: B
Explanation:
Migrate from on-premises or cloud implementations of MongoDB to Azure Cosmos DB with minimal downtime by using Azure Database Migration Service. Perform resilient migrations of MongoDB data at scale and with high reliability.
Scenario: Data migration from on-premises to Azure must minimize costs and downtime.
The application uses MongoDB JSON document storage database for all container and transport information.
References:
https://azure.microsoft.com/en-us/updates/mongodb-to-azure-cosmos-db-online-and-offline- migrationsare-now-available/