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NEW QUESTION: 1
A Citrix Engineer is considered that malicious users could exploit a web system by sending a large cookie. Which security check can the engineer implement to address this concern?
A. Start URL
B. Buffer Overflow
C. Content-type
D. Field Formats
Answer: B

NEW QUESTION: 2
展示を表示し、ORDERSテーブルとCUSTOMERSテーブルの構造を調べます。

CUST_LAST_NAMEがRobertsでCREDIT_LIMITが600である顧客のORDERSテーブルに行を追加するには、どのINSERTステートメントを使用する必要がありますか？ CUST_LAST_NAMEがRobertsでCREDIT_LIMITが600の行が1つだけ存在するとします。
A. INSERT INTO注文（order_id、order_date、order_mode、（SELECT customer_idFROM CustomersWHERE cust_last_name = 'Roberts' AND credit_limit = 600）、order_total）VALUES（1、'10 -mar-2007 '、' direct '、&& customer_id、1000 ）;
B. INSERT INTO注文（order_id、order_date、order_mode、（SELECT customer_idFROM CustomersWHERE cust_last_name = 'Roberts' AND credit_limit = 600）、order_total）VALUES（1、'10 -mar-2007 '、' direct '、＆customer_id、1000 ）;
C. INSERT INTO（SELECT o.order_id、o.order_date、o.order_mode、c.customer_id、o.order_totalFROM Orders o、Customers cWHERE o.customer_id = c.customer_id AND c.cust_last_name = 'Roberts' AND c。 credit_limit = 600）VALUES（1、'10 -mar-2007 '、' direct '、（SELECT customer_idFROM CustomersWHERE cust_last_name =' Roberts 'AND credit_limit = 600）、1000）;
D. INSERT INTO ordersVALUES（1、'10 -mar-2007 '、' direct '、（SELECT customer_idFROM CustomersWHERE cust_last_name =' Roberts 'AND credit_limit = 600）、1000）;
Answer: D

NEW QUESTION: 3
You need to design the runtime environment for the Real Time Response system.
What should you recommend?
A. General Purpose nodes without the Enterprise Security package
B. Memory Optimized Nodes without the Enterprise Security package
C. General Purpose nodes with the Enterprise Security package
D. Memory Optimized nodes with 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.