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NEW QUESTION 1
A company has a SaaS solution that uses Azure SQL Database with elastic pools. The solution contains a dedicated database for each customer organization. Customer organizations have peak usage at different periods during the year. You need to implement the Azure SQL Database elastic pool to minimize cost. Which option or options should you configure?

A. Number of transactions only
B. eDTUs per database only
C. Number of databases only
D. CPU usage only
E. eDTUs and max data size

Answer: E

NEW QUESTION 2
A company manages several on-premises Microsoft SQL Server databases. You need to migrate the databases to Microsoft Azure by using a backup and restore process. Which data technology should you use?

A. Azure SQL Database single database
B. Azure SQL Data Warehouse
C. Azure Cosmos DB
D. Azure SQL Database Managed Instance

Answer: D

NEW QUESTION 3
A company is designing a hybrid solution to synchronize data and on-premises Microsoft SQL Server database to Azure SQL Database. You must perform an assessment of databases to determine whether data will move without compatibility issues. You need to perform the assessment. Which tool should you use?

A. SQL Server Migration Assistant (SSMA)
B. Microsoft Assessment and Planning Toolkit
C. SQL Vulnerability Assessment (VA)
D. Azure SQL Data Sync
E. Data Migration Assistant (DMA)

Answer: E

NEW QUESTION 4
You develop data engineering solutions for a company. A project requires the deployment of resources to Microsoft Azure for batch data processing on Azure HDInsight. Batch processing will run daily and must:
  • Scale to minimize costs
  • Be monitored for cluster performance
You need to recommend a tool that will monitor clusters and provide information to suggest how to scale.
Solution: Monitor cluster load using the Ambari Web UI.
Does the solution meet the goal?

A. Yes
B. No

Answer: B

NEW QUESTION 5
You develop data engineering solutions for a company. A project requires the deployment of resources to Microsoft Azure for batch data processing on Azure HDInsight. Batch processing will run daily and must:
  • Scale to minimize costs
  • Be monitored for cluster performance
You need to recommend a tool that will monitor clusters and provide information to suggest how to scale.
Solution: Monitor clusters by using Azure Log Analytics and HDInsight cluster management solutions.
Does the solution meet the goal?

A. Yes
B. No

Answer: A

NEW QUESTION 6
A company plans to use Azure Storage for file storage purposes. Compliance rules require:
  • A single storage account to store all operations including reads, writes and deletes.
  • Retention of an on-premises copy of historical operations.
You need to configure the storage account. Which two actions should you perform? (Each correct answer presents part of the solution. Choose two.)

A. Configure the storage account to log read, write and delete operations for ServiceType Blob.
B. Use the AzCopy tool to download log data from $logs/blob.
C. Configure the storage account to log read, write and delete operations for ServiceType Table.
D. Use the storage client to download log data from $logs/table.
E. Configure the storage account to log read, write and delete operations for ServiceType Queue.

Answer: AB

NEW QUESTION 7
Drag and Drop
You are developing the data platform for a global retail company. The company operates during normal working hours in each region. The analytical database is used once a week for building sales projections. Each region maintains its own private virtual network. Building the sales projections is very resource intensive are generates upwards of 20 terabytes (TB) of data. Microsoft Azure SQL Databases must be provisioned.
  • Database provisioning must maximize performance and minimize cost.
  • The daily sales for each region must be stored in an Azure SQL Database instance.
  • Once a day, the data for all regions must be loaded in an analytical Azure SQL Database instance.
You need to provision Azure SQL database instances. How should you provision the database instances? (To answer, drag the appropriate Azure SQL products to the correct databases. Each Azure SQL product may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.)


Answer:


NEW QUESTION 8
HotSpot
A company is planning to use Microsoft Azure Cosmos DB as the data store for an application. You have the following Azure CLI command:
az cosmosdb create --name "cosmosdbdev1" --resource-group "rgdev"
You need to minimize latency and expose the SQL API. How should you complete the command? (To answer, select the appropriate options in the answer area.)


Answer:


NEW QUESTION 10
You develop data engineering solutions for a company. You need to ingest and visualize real-time Twitter data by using Microsoft Azure. Which three technologies should you use? (Each correct answer presents part of the solution. Choose three.)

A. Event Grid topic.
B. Azure Stream Analytics Job that queries Twitter data from an Event Hub.
C. Azure Stream Analytics Job that queries Twitter data from an Event Grid.
D. Logic App that sends Twitter posts which have target keywords to Azure.
E. Event Grid subscription.
F. Event Hub instance.

Answer: BDF

NEW QUESTION 11
......

Case Study 1 - Proseware, Inc.
Proseware, Inc. develops and manages a product named Poll Taker. The product is used for delivering public opinion polling and analysis. Polling data comes from a variety of sources, including online surveys, house-to-house interviews, and booths at public events.
......

NEW QUESTION 51
You need to ensure that phone-based poling data can be analyzed in the PollingData database. How should you configure Azure Data Factory?

A. Use a tumbling schedule trigger.
B. Use an event-based trigger.
C. Use a schedule trigger.
D. Use manual execution.

Answer: C

NEW QUESTION 52
Drag and Drop
You need to ensure that phone-based polling data can be analyzed in the PollingData database. Which three actions should you perform in sequence? (To answer, move the appropriate actions from the list of actions to the answer are and arrange them in the correct order.)


Answer:


NEW QUESTION 53
HotSpot
You need to ensure phone-based polling data upload reliability requirements are met. How should you configure monitoring? (To answer, select the appropriate options in the answer area.)


Answer:


NEW QUESTION 54
......

Case Study 2 - Contoso
Contoso relies on an extensive partner network for marketing, sales, and distribution. Contoso uses external companies that manufacture everything from the actual pharmaceutical to the packaging. The majority of the company's data reside in Microsoft SQL Server database. Application databases fall into one of the following tiers:
......

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herycarl

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ArturWI

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The new DP-200 dumps (Oct/2019 Updated) now are available, here are part of DP-200 exam questions (FYI):

[Get the download link at the end of this post]


NEW QUESTION 107
You are developing a data engineering solution for a company. The solution will store a large set of key- value pair data by using Microsoft Azure Cosmos DB. The solution has the following requirements:
  • Data must be partitioned into multiple containers.
  • Data containers must be configured separately.
  • Data must be accessible from applications hosted around the world.
  • The solution must minimize latency.
You need to provision Azure Cosmos DB.

A. Cosmos account-level throughput.
B. Provision an Azure Cosmos DB account with the Azure Table API. Enable geo-redundancy.
C. Configure table-level throughput.
D. Replicate the data globally by manually adding regions to the Azure Cosmos DB account.
E. Provision an Azure Cosmos DB account with the Azure Table API. Enable multi-region writes.

Answer: E

NEW QUESTION 108
A company has a SaaS solution that uses Azure SQL Database with elastic pools. The solution will have a dedicated database for each customer organization. Customer organizations have peak usage at different periods during the year. Which two factors affect your costs when sizing the Azure SQL Database elastic pools? (Each correct answer presents a complete solution. Choose two.)

A. maximum data size
B. number of databases
C. eDTUs consumption
D. number of read operations
E. number of transactions

Answer: AC

NEW QUESTION 109
A company runs Microsoft SQL Server in an on-premises virtual machine (VM). You must migrate the database to Azure SQL Database. You synchronize users from Active Directory to Azure Active Directory (Azure AD). You need to configure Azure SQL Database to use an Azure AD user as administrator. What should you configure?

A. For each Azure SQL Database, set the Access Control to administrator.
B. For each Azure SQL Database server, set the Active Directory to administrator.
C. For each Azure SQL Database, set the Active Directory administrator role.
D. For each Azure SQL Database server, set the Access Control to administrator.

Answer: C

NEW QUESTION 113
You plan to create a dimension table in Azure Data Warehouse that will be less than 1 GB. You need to create the table to meet the following requirements:
  • Provide the fastest query time.
  • Minimize data movement.
Which type of table should you use?

A. hash distributed
B. heap
C. replicated
D. round-robin

Answer: D

NEW QUESTION 114
You plan to implement an Azure Cosmos DB database that will write 100,000 JSON every 24 hours. The database will be replicated to three regions. Only one region will be writable. You need to select a consistency level for the database to meet the following requirements:
  • Guarantee monotonic reads and writes within a session.
  • Provide the fastest throughput.
  • Provide the lowest latency.
Which consistency level should you select?

A. Strong
B. Bounded Staleness
C. Eventual
D. Session
E. Consistent Prefix

Answer: D
Explanation:
Session: Within a single client session reads are guaranteed to honor the consistent-prefix (assuming a single "writer" session), monotonic reads, monotonic writes, read-your-writes, and write-follows-reads guarantees. Clients outside of the session performing writes will see eventual consistency.

NEW QUESTION 115
You use Azure Stream Analytics to receive Twitter data from Azure Event Hubs and to output the data to an Azure Blob storage account. You need to output the count of tweets during the last five minutes every five minutes. Each tweet must only be counted once. Which windowing function should you use?

A. a five-minute Session window
B. a five-minute Sliding window
C. a five-minute Tumbling window
D. a five-minute Hopping window that has one-minute hop

Answer: C
Explanation:
Tumbling window functions are used to segment a data stream into distinct time segments and perform a function against them, such as the example below. The key differentiators of a Tumbling window are that they repeat, do not overlap, and an event cannot belong to more than one tumbling window.

NEW QUESTION 116
You are developing a solution that will stream to Azure Stream Analytics. The solution will have both streaming data and reference data. Which input type should you use for the reference data?

A. Azure Cosmos DB
B. Azure Event Hubs
C. Azure Blob storage
D. Azure IoT Hub

Answer: C
Explanation:
Stream Analytics supports Azure Blob storage and Azure SQL Database as the storage layer for Reference Data.

NEW QUESTION 117
You have an Azure Storage account and an Azure SQL data warehouse by using Azure Data Factory. The solution must meet the following requirements:
  • Ensure that the data remains in the UK South region at all times.
  • Minimize administrative effort.
Which type of integration runtime should you use?

A. Azure integration runtime
B. Self-hosted integration runtime
C. Azure-SSIS integration runtime

Answer: A

NEW QUESTION 118
You plan to perform batch processing in Azure Databricks once daily. Which type of Databricks cluster should you use?

A. job
B. interactive
C. high concurrency

Answer: A
Explanation:
Example: Scheduled batch workloads (data engineers running ETL jobs) This scenario involves running batch job JARs and notebooks on a regular cadence through the Databricks platform.
The suggested best practice is to launch a new cluster for each run of critical jobs. This helps avoid any issues (failures, missing SLA, and so on) due to an existing workload (noisy neighbor) on a shared cluster.
Note: Azure Databricks has two types of clusters: interactive and automated. You use interactive clusters to analyze data collaboratively with interactive notebooks. You use automated clusters to run fast and robust automated jobs.

NEW QUESTION 119
You have an Azure SQL database that has masked columns. You need to identify when a user attempts to infer data from the masked columns. What should you use?

A. Azure Advanced Threat Protection (ATP)
B. custom masking rules
C. Transparent Data Encryption (TDE)
D. auditing

Answer: D
Explanation:
Dynamic Data Masking is designed to simplify application development by limiting data exposure in a set of pre-defined queries used by the application. While Dynamic Data Masking can also be useful to prevent accidental exposure of sensitive data when accessing a production database directly, it is important to note that unprivileged users with ad-hoc query permissions can apply techniques to gain access to the actual data. If there is a need to grant such ad-hoc access, Auditing should be used to monitor all database activity and mitigate this scenario.

NEW QUESTION 120
Drag and Drop
You have an Azure Data Lake Storage Gen2 account that contains JSON files for customers. The files contain two attributes named FirstName and LastName. You need to copy the data from the JSON files to an Azure SQL data Warehouse table by using Azure Databricks. A new column must be created that concatenates the FirstName and LastName values. You create the following components:
  • A destination table in SQL Data Warehouse
  • An Azure Blob storage container
  • A service principal
Which five actions should you perform in sequence next in a Databricks notebook? (To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.)


Answer:

Explanation:
Step 1: Read the file into a data frame. You can load the json files as a data frame in Azure Databricks.
Step 2: Perform transformations on the data frame.
Step 3:Specify a temporary folder to stage the data. Specify a temporary folder to use while moving data between Azure Databricks and Azure SQL Data Warehouse.
Step 4: Write the results to a table in SQL Data Warehouse. You upload the transformed data frame into Azure SQL Data Warehouse. You use the Azure SQL Data Warehouse connector for Azure Databricks to directly upload a dataframe as a table in a SQL data warehouse.
Step 5: Drop the data frame. Clean up resources. You can terminate the cluster. From the Azure Databricks workspace, select Clusters on the left. For the cluster to terminate, under Actions, point to the ellipsis (...) and select the Terminate icon.

NEW QUESTION 121
Hotspot
You need to receive an alert when Azure SQL Data Warehouse consumes the maximum allotted resources. Which resource type and signal should you use to create the alert in Azure Monitor? (To answer, select the appropriate options in the answer area.)


Answer:

Explanation:
Resource type: SQL data warehouse. DWU limit belongs to the SQL data warehouse resource type.
Signal: DWU limit. SQL Data Warehouse capacity limits are maximum values allowed for various components of Azure SQL Data Warehouse.

NEW QUESTION 122
......

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The new Data and AI DP-200 dumps (Nov/2019 Updated) now are available, here are part of DP-200 exam questions (FYI):

[Get the download link at the end of this post]


NEW QUESTION 137
You have an Azure Storage account that contains 100 GB of files. The files contain text and numerical values. 75% of the rows contain description data that has an average length of 1.1 MB. You plan to copy the data from the storage account to an Azure SQL data warehouse. You need to prepare the files to ensure that the data copies quickly.
Solution: You modify the files to ensure that each row is less than 1 MB.
Does this meet the goal?

A. Yes
B. No

Answer: A
Explanation:
When exporting data into an ORC File Format, you might get Java out-of-memory errors when there are large text columns. To work around this limitation, export only a subset of the columns.

NEW QUESTION 138
You have an Azure Storage account that contains 100 GB of files. The files contain text and numerical values. 75% of the rows contain description data that has an average length of 1.1 MB. You plan to copy the data from the storage account to an Azure SQL data warehouse. You need to prepare the files to ensure that the data copies quickly.
Solution: You modify the files to ensure that each row is more than 1 MB.
Does this meet the goal?

A. Yes
B. No

Answer: B
Explanation:
Instead modify the files to ensure that each row is less than 1 MB.

NEW QUESTION 139
You plan to deploy an Azure Cosmos DB database that supports multi-master replication. You need to select a consistency level for the database to meet the following requirements:
  • Provide a recovery point objective (RPO) of less than 15 minutes.
  • Provide a recovery time objective (RTO) of zero minutes.
What are three possible consistency levels that you can select? (Each correct answer presents a complete solution. Choose three.)

A. Strong
B. Bounded Staleness
C. Eventual
D. Session
E. Consistent Prefix

Answer: CDE

NEW QUESTION 140
You plan to create an Azure Databricks workspace that has a tiered structure. The workspace will contain the following three workloads:
  • A workload for data engineers who will use Python and SQL.
  • A workload for jobs that will run notebooks that use Python, Spark, Scala, and SQL.
  • A workload that data scientists will use to perform ad hoc analysis in Scala and R.
The enterprise architecture team at your company identifies the following standards for Databricks environments:
  • The data engineers must share a cluster.
  • The job cluster will be managed by using a request process whereby data scientists and data engineers provide packaged notebooks for deployment to the cluster.
  • All the data scientists must be assigned their own cluster that terminates automatically after 120 minutes of inactivity. Currently, there are three data scientists.
You need to create the Databrick clusters for the workloads.
Solution: You create a Standard cluster for each data scientist, a High Concurrency cluster for the data engineers, and a Standard cluster for the jobs.
Does this meet the goal?

A. Yes
B. No

Answer: B
Explanation:
We would need a High Concurrency cluster for the jobs. Note: Standard clusters are recommended for a single user. Standard can run workloads developed in any language: Python, R, Scala, and SQL. A high concurrency cluster is a managed cloud resource. The key benefits of high concurrency clusters are that they provide Apache Spark-native fine-grained sharing for maximum resource utilization and minimum query latencies.

NEW QUESTION 141
You plan to create an Azure Databricks workspace that has a tiered structure. The workspace will contain the following three workloads:
  • A workload for data engineers who will use Python and SQL.
  • A workload for jobs that will run notebooks that use Python, Spark, Scala, and SQL.
  • A workload that data scientists will use to perform ad hoc analysis in Scala and R.
The enterprise architecture team at your company identifies the following standards for Databricks environments:
  • The data engineers must share a cluster.
  • The job cluster will be managed by using a request process whereby data scientists and data engineers provide packaged notebooks for deployment to the cluster.
  • All the data scientists must be assigned their own cluster that terminates automatically after 120 minutes of inactivity. Currently, there are three data scientists.
You need to create the Databrick clusters for the workloads.
Solution: You create a Standard cluster for each data scientist, a High Concurrency cluster for the data engineers, and a High Concurrency cluster for the jobs.
Does this meet the goal?

A. Yes
B. No

Answer: A
Explanation:
We need a High Concurrency cluster for the data engineers and the jobs. Note: Standard clusters are recommended for a single user. Standard can run workloads developed in any language: Python, R, Scala, and SQL. A high concurrency cluster is a managed cloud resource. The key benefits of high concurrency clusters are that they provide Apache Spark-native fine-grained sharing for maximum resource utilization and minimum query latencies.

NEW QUESTION 142
You have an Azure Stream Analytics query. The query returns a result set that contains 10,000 distinct values for a column named clusterID. You monitor the Stream Analytics job and discover high latency. You need to reduce the latency. Which two actions should you perform? (Each correct answer presents a complete solution. Choose two.)

A. Add a pass-through query.
B. Add a temporal analytic function.
C. Scale out the query by using PARTITION BY.
D. Convert the query to a reference query.
E. Increase the number of streaming units.

Answer: CE

NEW QUESTION 143
A company uses Azure Data Lake Gen 1 Storage to store big data related to consumer behavior. You need to implement logging.
Solution: Create an Azure Automation runbook to copy events.
Does the solution meet the goal?

A. Yes
B. No

Answer: B
Explanation:
Instead configure Azure Data Lake Storage diagnostics to store logs and metrics in a storage account.

NEW QUESTION 144
You have an Azure data solution that contains an Azure SQL data warehouse named DW1. Several users execute adhoc queries to DW1 concurrently. You regularly perform automated data loads to DW1. You need to ensure that the automated data loads have enough memory available to complete quickly and successfully when the adhoc queries run. What should you do?

A. Hash distribute the large fact tables in DW1 before performing the automated data loads.
B. Assign a larger resource class to the automated data load queries.
C. Create sampled statistics for every column in each table of DW1.
D. Assign a smaller resource class to the automated data load queries.

Answer: B
Explanation:
To ensure the loading user has enough memory to achieve maximum compression rates, use loading users that are a member of a medium or large resource class.

NEW QUESTION 145
Drag and Drop
You deploy an Azure SQL database named DB1 to an Azure SQL server named SQL1. Currently, only the server admin has access to DB1. An Azure Active Directory (Azure AD) group named Analysts contains all the users who must have access to DB1. You have the following data security requirements:
  • The Analysts group must have read-only access to all the views and tables in the Sales schema of DB1.
  • A manager will decide who can access DB1. The manager will not interact directly with DB1.
  • Users must not have to manage a separate password solely to access DB1.
Which four actions should you perform in sequence to meet the data security requirements? (To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.)


Answer:


NEW QUESTION 146
Drag and Drop
You have an Azure subscription that contains an Azure Databricks environment and an Azure Storage account. You need to implement secure communication between Databricks and the storage account. You create an Azure key vault. Which four actions should you perform in sequence? (To answer, move the actions from the list of actions to the answer area and arrange them in the correct order.)


Answer:

Explanation:
Managing secrets begins with creating a secret scope. To reference secrets stored in an Azure Key Vault, you can create a secret scope backed by Azure Key Vault.

NEW QUESTION 147
......

Download more NEW Pass Leader DP-200 PDF dumps from Google Drive here:


OR

Read the newest Pass Leader DP-200 exam questions from this Blog:


Good Luck!!!
 
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