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NEW QUESTION 205
You have an Azure Data Factory pipeline that performs an incremental load of source data to an Azure Data Lake Storage Gen2 account. Data to be loaded is identified by a column named LastUpdatedDate in the source table. You plan to execute the pipeline every four hours. You need to ensure that the pipeline execution meets the following requirements:
– Automatically retries the execution when the pipeline run fails due to concurrency or throttling limits.
– Supports backfilling existing data in the table.
Which type of trigger should you use?
A. event
B. on-demand
C. schedule
D. tumbling window
Answer: D
Explanation:
In case of pipeline failures, tumbling window trigger can retry the execution of the referenced pipeline automatically, using the same input parameters, without the user intervention. This can be specified using the property “retryPolicy” in the trigger definition.
https://docs.microsoft.com/en-us/azure/data-factory/how-to-create-tumbling-window-trigger
NEW QUESTION 206
You plan to build a structured streaming solution in Azure Databricks. The solution will count new events in five-minute intervals and report only events that arrive during the interval. The output will be sent to a Delta Lake table. Which output mode should you use?
A. update
B. complete
C. append
Answer: C
Explanation:
Append Mode: Only new rows appended in the result table since the last trigger are written to external storage. This is applicable only for the queries where existing rows in the Result Table are not expected to change.
Incorrect:
Not A: Update Mode: Only the rows that were updated in the result table since the last trigger are written to external storage. This is different from Complete Mode in that Update Mode outputs only the rows that have changed since the last trigger. If the query doesn’t contain aggregations, it is equivalent to Append mode.
Not B: Complete Mode: The entire updated result table is written to external storage. It is up to the storage connector to decide how to handle the writing of the entire table.
https://docs.databricks.com/getting-started/spark/streaming.html
NEW QUESTION 207
You are designing a security model for an Azure Synapse Analytics dedicated SQL pool that will support multiple companies. You need to ensure that users from each company can view only the data of their respective company. Which two objects should you include in the solution? (Each correct answer presents part of the solution. Choose two.)
A. a security policy
B. a custom role-based access control (RBAC) role
C. a function
D. a column encryption key
E. asymmetric keys
Answer: AB
Explanation:
A: Row-Level Security (RLS) enables you to use group membership or execution context to control access to rows in a database table. Implement RLS by using the CREATE SECURITY POLICYTransact-SQL statement.
B: Azure Synapse provides a comprehensive and fine-grained access control system, that integrates:
– Azure roles for resource management and access to data in storage.
– Synapse roles for managing live access to code and execution.
– SQL roles for data plane access to data in SQL pools.
https://docs.microsoft.com/en-us/sql/relational-databases/security/row-level-security
https://docs.microsoft.com/en-us/azure/synapse-analytics/security/synapse-workspace-access-control-overview
NEW QUESTION 208
You have an Azure Data Lake Storage Gen2 account named adls2 that is protected by a virtual network. You are designing a SQL pool in Azure Synapse that will use adls2 as a source. What should you use to authenticate to adls2?
A. an Azure Active Directory (Azure AD) user
B. a shared key
C. a shared access signature (SAS)
D. a managed identity
Answer: D
Explanation:
Managed Identity authentication is required when your storage account is attached to a VNet.
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/quickstart-bulk-load-copy-tsql-examples
NEW QUESTION 209
You are designing an Azure Synapse solution that will provide a query interface for the data stored in an Azure Storage account. The storage account is only accessible from a virtual network. You need to recommend an authentication mechanism to ensure that the solution can access the source data. What should you recommend?
A. a managed identity
B. anonymous public read access
C. a shared key
Answer: A
Explanation:
Managed Identity authentication is required when your storage account is attached to a VNet.
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/quickstart-bulk-load-copy-tsql-examples
NEW QUESTION 210
You are developing an application that uses Azure Data Lake Storage Gen2. You need to recommend a solution to grant permissions to a specific application for a limited time period. What should you include in the recommendation?
A. role assignments
B. shared access signatures (SAS)
C. Azure Active Directory (Azure AD) identities
D. account keys
Answer: B
Explanation:
A shared access signature (SAS) provides secure delegated access to resources in your storage account. With a SAS, you have granular control over how a client can access your data.
https://docs.microsoft.com/en-us/azure/storage/common/storage-sas-overview
NEW QUESTION 211
You manage an enterprise data warehouse in Azure Synapse Analytics. Users report slow performance when they run commonly used queries. Users do not report performance changes for infrequently used queries. You need to monitor resource utilization to determine the source of the performance issues. Which metric should you monitor?
A. DWU percentage.
B. Cache hit percentage.
C. DWU limit.
D. Data IO percentage.
Answer: B
Explanation:
Monitor and troubleshoot slow query performance by determining whether your workload is optimally leveraging the adaptive cache for dedicated SQL pools.
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-how-to-monitor-cache
NEW QUESTION 212
You have an Azure Databricks resource. You need to log actions that relate to changes in compute for the Databricks resource. Which Databricks services should you log?
A. clusters
B. workspace
C. DBFS
D. SSH
E. jobs
Answer: B
Explanation:
Databricks provides access to audit logs of activities performed by Databricks users, allowing your enterprise to monitor detailed Databricks usage patterns. There are two types of logs:
– Workspace-level audit logs with workspace-level events.
– Account-level audit logs with account-level events.
https://docs.databricks.com/administration-guide/account-settings/audit-logs.html
NEW QUESTION 213
You are designing an Azure Synapse Analytics workspace. You need to recommend a solution to provide double encryption of all the data at rest. Which two components should you include in the recommendation? (Each coned answer presents part of the solution. Choose two.)
A. an X509 certificate
B. an RSA key
C. an Azure key vault that has purge protection enabled
D. an Azure virtual network that has a network security group (NSG)
E. an Azure Policy initiative
Answer: AD
NEW QUESTION 214
You have an Azure Synapse Analytics workspace named WS1 that contains an Apache Spark pool named Pool1. You plan to create a database named D61 in Pool1. You need to ensure that when tables are created in DB1, the tables are available automatically as external tables to the built-in serverless SQL pod. Which format should you use for the tables in DB1?
A. Parquet
B. CSV
C. ORC
D. JSON
Answer: A
Explanation:
Serverless SQL pool can automatically synchronize metadata from Apache Spark. A serverless SQL pool database will be created for each database existing in serverless Apache Spark pools. For each Spark external table based on Parquet or CSV and located in Azure Storage, an external table is created in a serverless SQL pool database.
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql/develop-storage-files-spark-tables
NEW QUESTION 215
You have an Azure Stream Analytics job. You need to ensure that the job has enough streaming units provisioned. You configure monitoring of the SU% Utilization metric. Which two additional metrics should you monitor? (Each correct answer presents part of the solution. Choose two.)
A. Out of order Events
B. Late Input Events
C. Baddogged Input Events
D. Function Events
E. Watermark Delay
Answer: CE
NEW QUESTION 216
A company plans to use Apache Spark analytics to analyze intrusion detection data. You need to recommend a solution to analyze network and system activity data for malicious activities and policy violations. The solution must minimize administrative efforts. What should you recommend?
A. Azure Data Lake Storage
B. Azure Databncks
C. Azure HDInsight
D. Azure Data Factory
Answer: B
NEW QUESTION 217
You plan to create an Azure Data Factory pipeline that will include a mapping data flow. You have JSON data containing objects that have nested arrays. You need to transform the JSON-formatted data into a tabular dataset. The dataset must have one tow for each item in the arrays. Which transformation method should you use in the mapping data flow?
A. unpivot
B. flatten
C. new branch
D. alter row
Answer: B
NEW QUESTION 218
You are implementing a batch dataset in the Parquet format. Data tiles will be produced by using Azure Data Factory and stored in Azure Data Lake Storage Gen2. The files will be consumed by an Azure Synapse Analytics serverless SQL pool. You need to minimize storage costs for the solution. What should you do?
A. Store all the data as strings in the Parquet tiles.
B. Use OPENROWEST to query the Parquet files.
C. Create an external table mat contains a subset of columns from the Parquet files.
D. Use Snappy compression for the files.
Answer: C
Explanation:
An external table points to data located in Hadoop, Azure Storage blob, or Azure Data Lake Storage. External tables are used to read data from files or write data to files in Azure Storage. With Synapse SQL, you can use external tables to read external data using dedicated SQL pool or serverless SQL pool.
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql/develop-tables-external-tables
NEW QUESTION 219
HotSpot
You have an Azure subscription that is linked to a hybrid Azure Active Directory (Azure AD) tenant. The subscription contains an Azure Synapse Analytics SQL pool named Pool1. You need to recommend an authentication solution for Pool1. The solution must support multi-factor authentication (MFA) and database-level authentication. Which authentication solution or solutions should you include m the recommendation? To answer, select the appropriate options in the answer area.
Answer:
Explanation:
Box 1: Azure AD authentication. Azure AD authentication has the option to include MFA.
Box 2: Contained database users. Azure AD authentication uses contained database users to authenticate identities at the database level.
https://docs.microsoft.com/en-us/azure/azure-sql/database/authentication-mfa-ssms-overview
https://docs.microsoft.com/en-us/azure/azure-sql/database/authentication-aad-overview
NEW QUESTION 220
Drag and Drop
You are designing an Azure Data Lake Storage Gen2 structure for telemetry data from 25 million devices distributed across seven key geographical regions. Each minute, the devices will send a JSON payload of metrics to Azure Event Hubs. You need to recommend a folder structure for the data. The solution must meet the following requirements:
– Data engineers from each region must be able to build their own pipelines for the data of their respective region only.
– The data must be processed at least once every 15 minutes for inclusion in Azure Synapse Analytics serverless SQL pools.
How should you recommend completing the structure? (To answer, drag the appropriate values to the correct targets. Each value 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:
Explanation:
Box 1: {YYYY}/{MM}/{DD}/{HH}. Date Format [optional]: if the date token is used in the prefix path, you can select the date format in which your files are organized. Example: YYYY/MM/DD. Time Format [optional]: if the time token is used in the prefix path, specify the time format in which your files are organized. Currently the only supported value is HH.
Box 2: {regionID}/raw. Data engineers from each region must be able to build their own pipelines for the data of their respective region only.
https://github.com/paolosalvatori/StreamAnalyticsAzureDataLakeStore/blob/master/README.md
NEW QUESTION 221
……
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