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NEW QUESTION: 1
You are performing a semiannual capacity planning exercise for your flagship service. You expect a service user growth rate of 10% month-over-month over the next six months. Your service is fully containerized and runs on Google Cloud Platform (GCP). using a Google Kubernetes Engine (GKE) Standard regional cluster on three zones with cluster autoscaler enabled. You currently consume about 30% of your total deployed CPU capacity, and you require resilience against the failure of a zone. You want to ensure that your users experience minimal negative impact as a result of this growth or as a result of zone failure, while avoiding unnecessary costs. How should you prepare to handle the predicted growth?
A. Proactively add 60% more node capacity to account for six months of 10% growth rate, and then perform a load test to make sure you have enough capacity.
B. Verity the maximum node pool size, enable a horizontal pod autoscaler, and then perform a load test to verity your expected resource needs.
C. Because you are deployed on GKE and are using a cluster autoscaler. your GKE cluster will scale automatically, regardless of growth rate.
D. Because you are at only 30% utilization, you have significant headroom and you won't need to add any additional capacity for this rate of growth.
Answer: B
NEW QUESTION: 2
You implement an event processing solution using Microsoft Azure Stream Analytics.
The solution must meet the following requirements:
*Ingest data from Blob storage
* Analyze data in real time
*Store processed data in Azure Cosmos DB
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation
Step 1: Configure Blob storage as input; select items with the TIMESTAMP BY clause The default timestamp of Blob storage events in Stream Analytics is the timestamp that the blob was last modified, which is BlobLastModifiedUtcTime. To process the data as a stream using a timestamp in the event payload, you must use the TIMESTAMP BY keyword.
Example:
The following is a TIMESTAMP BY example which uses the EntryTime column as the application time for events:
SELECT TollId, EntryTime AS VehicleEntryTime, LicensePlate, State, Make, Model, VehicleType, VehicleWeight, Toll, Tag FROM TollTagEntry TIMESTAMP BY EntryTime Step 2: Set up cosmos DB as the output Creating Cosmos DB as an output in Stream Analytics generates a prompt for information as seen below.
Step 3: Create a query statement with the SELECT INTO statement.
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-define-inputs
NEW QUESTION: 3
The Put-away Control Indicator used to determine the storage type is obtained from the ... Choose the correct answer(s). Response:
A. Storage type
B. Party entitled to dispose
C. Inbound delivery document
D. Warehouse product master
E. Configuration table
Answer: D
NEW QUESTION: 4
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution. Determine whether the solution meets stated goals.
You have a mission-critical application that stores data in a Microsoft SQL Server instance. The application runs several financial reports. The reports use a SQL Server-authenticated login named Reporting_User.
All queries that write data to the database use Windows authentication.
Users report that the queries used to provide data for the financial reports take a long time to complete.
The queries consume the majority of CPU and memory resources on the database server. As a result, read-write queries for the application also take a long time to complete.
You need to improve performance of the application while still allowing the report queries to finish.
Solution: You configure the Resource Governor to set the MAXDOP parameter to 0 for all queries against the database.
Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation:
Explanation/Reference:
SQL Server will consider parallel execution plans for queries, index data definition language (DDL) operations, and static and keyset-driven cursor population.
You can override the max degree of parallelism value in queries by specifying the MAXDOP query hint in the query statement.
References: https://technet.microsoft.com/en-us/library/ms181007(v=sql.105).aspx