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NEW QUESTION: 1
How does an IBM XIV provide a guarantee of consistent performance even under the most dynamically changing elastic cloud workload environments?
A. Built in performance monitoring of key resources
B. Support for multiple versions of OpenStack software
C. Capacity on Demand addition of useable storage
D. Use of a distributed grid architecture
Answer: D

NEW QUESTION: 2
Your company develops a variety of web applications using many platforms and programming languages with
different application dependencies. Each application must be developed and deployed quickly and be highly
available to satisfy your business requirements. Which of the following methods should you use to deploy
these applications rapidly?
A. Develop the applications in Docker containers, and then deploy them to Elastic Beanstalk environments
with Auto Scaling and Elastic Load Balancing.
B. Use the AWS CloudFormation Docker import service to build and deploy the applications with high
availability in multiple Availability Zones.
C- Develop each application's code in DynamoDB, and then use hooks to deploy it to Elastic Beanstalk
environments with Auto Scaling and Elastic Load Balancing.
C. Store each application's code in a Git repository, develop custom package repository managers for each
application's dependencies, and deploy to AWS OpsWorks in multiple Availability Zones.
Answer: A
Explanation:
Explanation
Elastic Beanstalk supports the deployment of web applications from Docker containers. With Docker
containers, you can define your own runtime environment. You
can choose your own platform, programming language, and any application dependencies (such as package
managers or tools), that aren't supported by other
platforms. Docker containers are self-contained and include all the configuration information and software
your web application requires to run.
By using Docker with Elastic Beanstalk, you have an infrastructure that automatically handles the details of
capacity provisioning, load balancing, scaling, and
application health monitoring.
For more information on Dockers and Elastic beanstalk please refer to the below link:
* http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/create_deploy_docker.html

NEW QUESTION: 3
Einige Benutzer können von ihren Arbeitsstationen aus nicht auf das Internet zugreifen. Ein Techniker führt den Befehl ipconfig auf einer der Arbeitsstationen aus und sieht Folgendes:

Der Techniker pingt 8.8.8.8 und erhält keine Antwort. Als nächstes pingt der Techniker 192.168.1.1 und erhält keine Antwort. Der Techniker kann eine benachbarte Workstation erfolgreich anpingen, den Druckserver in der unteren Etage jedoch nicht anpingen. Welche der folgenden Ursachen ist die wahrscheinlichste Ursache für das Problem mit der Internetverbindung im Büro?
A. Es liegt ein Problem mit einem DNS-Server im Büro vor
B. Es liegt ein Problem mit einem Router im Büro vor
C. Der drahtlose Zugangspunkt in der Umgebung ist ausgefallen
D. Die Benutzer erhalten vom DHCP-Server keine korrekten IP-Adressen
Answer: B

NEW QUESTION: 4
You need to re-establish subscriptions on SSRS01.
What should you do?
A. Generate a SQL Server 2012 configuration file by running the SQL Server Setup executable.
B. Manually failover the active node.
C. Upgrade Node1 by using the SQL Server 2012 Upgrade wizard.
D. Install prerequisites and upgrade shared components on Node1 and Node2.
Answer: B
Explanation:
SSRS reports are scheduled by SQL server Agent jobs. Start the SQL Server Agent on SSRS01.
Topic 5, Data Architect
General Background
You are a Data Architect for a company that uses SQL Server 2012 Enterprise edition.
You have been tasked with designing a data warehouse that uses the company's financial database as the data source. From the data warehouse, you will develop a cube to simplify the creation of accurate financial reports and related data analysis.
Background
You will utilize the following three servers: - ServerA runs SQL Server Database Engine. ServerA is a production server and also hosts the financial database.
- ServerB runs SQL Server Database Engine, SQL Server Analysis Services (SSAS) in multidimensional mode, SQL Server Integration Services (SSIS), and SQL Server Reporting Services (SSRS).
- ServerC runs SSAS in multidimensional mode. - The financial database is used by a third-party application and the table structures cannot be modified.
The relevant tables in the financial database are shown in the exhibit. (Click the Exhibit button.)

The SalesTransactions table is 500 GB and is anticipated to grow to 2 TB. The table is partitioned by month. It contains only the last five years of financial data. The CouponUsed, OnSale, and Closeout columns contain only the values Yes or No. Each of the other tables is less than 10 MB and has only one partition.
The SecurityFilter table specifies the sites to which each user has access.
Business Requirements
The extract, transform, load (ETL) process that updates the data warehouse must run daily between 8:00 P.M. and 5:00 A.M. so that it doesn't impact the performance of ServerA during business hours. The cube data must be available by 8:00 A.M.
The cube must meet the following business requirements:
--
Ensure that reports display the most current information available. Allow fast access to support ad-hoc reports and data analysis.
Business Analysts will access the data warehouse tables directly, and will access the cube by using SSRS, Microsoft Excel, and Microsoft SharePoint Server 2010 PerformancePoint Services. These tools will access only the cube and not the data warehouse.
Technical Requirements
SSIS solutions must be deployed by using the project deployment model.
You must develop the data warehouse and store the cube on ServerB. When the number
of concurrent SSAS users on ServerB reaches a specific number, you must scale out
SSAS to ServerC and meet following requirements:
---
Maintain copies of the cube on ServerB and ServerC. Ensure that the cube is always available on both servers. Minimize query response time.
The cube must meet the following technical requirements:
-- --
The cube must be processed by using an SSIS package.
The cube must contain the prior day's data up to 8:00 P.M. but does not need to
contain same-day data.
The cube must include aggregation designs when it is initially deployed.
A product dimension must be added to the cube. It will contain a hierarchy
comprised of product name and product color.
Because of the large size of the SalesTransactions table, the cube must store only aggregations-the data warehouse must store the detailed data. Both the data warehouse and the cube must minimize disk space usage.
As the cube size increases, you must plan to scale out to additional servers to minimize processing time.
The data warehouse must use a star schema design. The table design must be as denormalized as possible. The history of changes to the Customer table must be tracked in the data warehouse. The cube must use the data warehouse as its only data source.
Security settings on the data warehouse and the cube must ensure that queries against the SalesTransactions table return only records from the sites to which the current user has access.
The ETL process must consist of multiple SSIS packages developed in a single project by using the least amount of effort. The SSIS packages must use a database connection string that is set at execution time to connect to the financial database. All data in the data warehouse must be loaded by the SSIS packages.
You must create a Package Activity report that meets the following requirements: - Track SSIS package execution data (including package name, status, start time, end time, duration, and rows processed). - Use the least amount of development effort.