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NEW QUESTION: 1

A)

B)

C)

D)


A. Option A
B. Option B
C. Option D
D. Option C
Answer: A

NEW QUESTION: 2
How long can you keep your Amazon SQS messages in Amazon SQS queues?
A. From 120 secs up to 4 weeks
B. From 60 secs up to 2 weeks
C. From 30 secs up to 1 week
D. From 10 secs up to 7 days
Answer: B
Explanation:
The SQS message retention period is configurable and can be set anywhere from 1 minute to 2 weeks. The default is 4 days and once the message retention limit is reached your messages will be automatically deleted. The option for longer message retention provides greater flexibility to allow for longer intervals between message production and consumption.
https://aws.amazon.com/sqs/faqs/

NEW QUESTION: 3
You need to design the runtime environment for the Real Time Response system.
What should you recommend?
A. General Purpose nodes with the Enterprise Security package
B. Memory Optimized Nodes without the Enterprise Security package
C. Memory Optimized nodes with the Enterprise Security package
D. General Purpose nodes without the Enterprise Security package
Answer: B
Explanation:
Explanation/Reference:
Explanation:
Scenario: You must maximize the performance of the Real Time Response system.
Testlet 2
Case study
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other question on this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next sections of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question on this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
Requirements
Business
The company identifies the following business requirements:
You must transfer all images and customer data to cloud storage and remove on-premises servers.

You must develop an analytical processing solution for transforming customer data.

You must develop an image object and color tagging solution.

Capital expenditures must be minimized.

Cloud resource costs must be minimized.

Technical
The solution has the following technical requirements:
Tagging data must be uploaded to the cloud from the New York office location.

Tagging data must be replicated to regions that are geographically close to company office locations.

Image data must be stored in a single data store at minimum cost.

Customer data must be analyzed using managed Spark clusters.

Power BI must be used to visualize transformed customer data.

All data must be backed up in case disaster recovery is required.

Security and optimization
All cloud data must be encrypted at rest and in transit. The solution must support:
parallel processing of customer data

hyper-scale storage of images

global region data replication of processed image data

Testlet 3
Case study
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other question on this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next sections of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question on this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
Background
Current environment
The company has the following virtual machines (VMs):

Requirements
Storage and processing
You must be able to use a file system view of data stored in a blob.
You must build an architecture that will allow Contoso to use the DB FS filesystem layer over a blob store.
The architecture will need to support data files, libraries, and images. Additionally, it must provide a web- based interface to documents that contain runnable command, visualizations, and narrative text such as a notebook.
CONT_SQL3 requires an initial scale of 35000 IOPS.
CONT_SQL1 and CONT_SQL2 must use the vCore model and should include replicas. The solution must support 8000 IOPS.
The storage should be configured to optimized storage for database OLTP workloads.
Migration
You must be able to independently scale compute and storage resources.

You must migrate all SQL Server workloads to Azure. You must identify related machines in the on-

premises environment, get disk size data usage information.
Data from SQL Server must include zone redundant storage.

You need to ensure that app components can reside on-premises while interacting with components

that run in the Azure public cloud.
SAP data must remain on-premises.

The Azure Site Recovery (ASR) results should contain per-machine data.

Business requirements
You must design a regional disaster recovery topology.

The database backups have regulatory purposes and must be retained for seven years.

CONT_SQL1 stores customers sales data that requires ETL operations for data analysis. A solution is

required that reads data from SQL, performs ETL, and outputs to Power BI. The solution should use managed clusters to minimize costs. To optimize logistics, Contoso needs to analyze customer sales data to see if certain products are tied to specific times in the year.
The analytics solution for customer sales data must be available during a regional outage.

Security and auditing
Contoso requires all corporate computers to enable Windows Firewall.

Azure servers should be able to ping other Contoso Azure servers.

Employee PII must be encrypted in memory, in motion, and at rest. Any data encrypted by SQL Server

must support equality searches, grouping, indexing, and joining on the encrypted data.
Keys must be secured by using hardware security modules (HSMs).

CONT_SQL3 must not communicate over the default ports

Cost
All solutions must minimize cost and resources.

The organization does not want any unexpected charges.

The data engineers must set the SQL Data Warehouse compute resources to consume 300 DWUs.

CONT_SQL2 is not fully utilized during non-peak hours. You must minimize resource costs for during

non-peak hours.

NEW QUESTION: 4
コマンドラインでプレイブックに複数の変数名と値を指定する場合、正しい構文はどれですか？
A. ansible-playbook playbook.yml -e `host =" foo "'-e` pkg = "bar"'
B. ansible-playbook playbook.yml -e `host：" foo "、pkg：" bar "'
C. ansible-playbook playbook.yml --extra-vars "ホスト= foo"、 "pkg = bar"
D. ansible-playbook playbook.yml -e `host =" foo "pkg =" bar "'
Answer: D
Explanation:
変数は単一のコマンドラインパラメータ `-e 'または` --extra-vars'で渡されます。それらは単一の文字列としてプレイブックに送信され、スペースで区切られます。スペース区切りのため、変数値は引用符で囲む必要があります。さらに、次のように適切なJSONまたはYAMLを渡すことができます。 `-e` {"key"： "name"、 "array"：["value1"、 "value2"]} '。
参照：
http://docs.ansible.com/ansible/playbooks_variables.html#passing-variables-on-the-command-line

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