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NEW QUESTION: 1
You are developing a database application by using Microsoft SQL Server 2012. An application that uses a database begins to run slowly. Your investigation shows the root cause is a query against a read-only table that has a clustered index. The query returns the following six columns: * One column in its WHERE clause contained in a non-clustered index * Four additional columns * One COUNT (*) column based on a grouping of the four additional columns You need to optimize the statement. What should you do?
A. Include a SET STATISTICS PROFILE ON statement before you run the query.
B. Include a SET TRANSACTION ISOLATION LEVEL REPEATABLE READ statement before you run the query.
C. Add a LOOP hint to the query.
D. Cover the unique clustered index with a columnstore index.
E. Add a HASH hint to the query.
F. Add a FORCESEEK hint to the query.
G. Enable the optimize for ad hoc workloads option.
H. Include a SET TRANSACTION ISOLATION LEVEL SERIALIZABLE statement before you run the query.
I. Include a SET STATISTICS SHOWPLAN_XML ON statement before you run the query.
J. Include a SET TRANSACTION ISOLATION LEVEL SNAPSHOT statement before you run the query.
K. Add a columnstore index to cover the query.
L. Include a SET FORCEPLAN ON statement before you run the query.
M. Add a FORCESCAN hint to the Attach query.
N. Add an INCLUDE clause to the index.
Answer: K
NEW QUESTION: 2
You are developing a solution to visualize multiple terabytes of geospatial data.
The solution has the following requirements:
* Data must be encrypted.
* Data must be accessible by multiple resources on Microsoft Azure.
You need to provision storage for the solution.
Which four actions should you perform in sequence? To answer, move the appropriate action from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
Create a new Azure Data Lake Storage account with Azure Data Lake managed encryption keys
For Azure services, Azure Key Vault is the recommended key storage solution and provides a common management experience across services. Keys are stored and managed in key vaults, and access to a key vault can be given to users or services. Azure Key Vault supports customer creation of keys or import of customer keys for use in customer-managed encryption key scenarios.
Note: Data Lake Storage Gen1 account Encryption Settings. There are three options:
* Do not enable encryption.
* Use keys managed by Data Lake Storage Gen1, if you want Data Lake Storage Gen1 to manage your encryption keys.
* Use keys from your own Key Vault. You can select an existing Azure Key Vault or create a new Key Vault. To use the keys from a Key Vault, you must assign permissions for the Data Lake Storage Gen1 account to access the Azure Key Vault.
References:
https://docs.microsoft.com/en-us/azure/security/fundamentals/encryption-atrest
NEW QUESTION: 3
Using the VPC620 camera, the OSD image interface image as shown in the figure appears on the display screen, the following description is correct () (multiple choice)
A. This OSD interface displays camera information, which is only displayed in local mode, not in remote mode
B. Press the delete button on the remote control twice in succession to cancel this OSD interface
C. This OSD interface is caused by the TV settings and needs to modify the TV configuration
D. Press the mode button of the camera to cancel this OSD interface
Answer: A,B
NEW QUESTION: 4
Answer:
Explanation:
Explanation
Box 1: Azure Data Lake Store
Stream Analytics supports Azure Data Lake Store. Azure Data Lake Store is an enterprise-wide hyper-scale repository for big data analytic workloads. Data Lake Store enables you to store data of any size, type and ingestion speed for operational and exploratory analytics. Stream Analytics has to be authorized to access the Data Lake Store.
Box 2: Azure Cosmos DB
Stream Analytics can target Azure Cosmos DB for JSON output, enabling data archiving and low-latency queries on unstructured JSON data.
Box 3: Azure Blob Storage
Blob storage offers a cost-effective and scalable solution for storing large amounts of unstructured data in the cloud.
Incorrect Asnwers:
Azure SQL Database:
Azure SQL Database can be used as an output for data that is relational in nature or for applications that depend on content being hosted in a relational database. Stream Analytics jobs write to an existing table in an Azure SQL Database.
Azure Service Bus Queue:
Service Bus Queues offer a First In, First Out (FIFO) message delivery to one or more competing consumers.
Typically, messages are expected to be received and processed by the receivers in the temporal order in which they were added to the queue, and each message is received and processed by only one message consumer.
Azure Table Storage
Azure Table storage offers highly available, massively scalable storage, so that an application can automatically scale to meet user demand. Table storage is Microsoft's NoSQL key/attribute store, which one can leverage for structured data with fewer constraints on the schema. Azure Table storage can be used to store data for persistence and efficient retrieval.
References: https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-define-outputs