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NEW QUESTION 48
You are running a diagnostic against a query as shown in the following exhibit.
What can you identify from the diagnostics query?
Answer: A
NEW QUESTION 49
You have a Power Bl report that contains the visual shown in the following exhibit.
You need to make the visual more accessible to users who have color vision deficiency. What should you do?
Answer: D
NEW QUESTION 50
You are using GitHub as a source control solution for an Azure Synapse Studio workspace. You need to modify the source control solution to use an Azure DevOps Git repository. What should you do first?
Answer: A
Explanation:
By default, Synapse Studio authors directly against the Synapse service. If you have a need for collaboration using Git for source control, Synapse Studio allows you to associate your workspace with a Git repository, Azure DevOps, or GitHub.
Prerequisites
Users must have the Azure Contributor (Azure RBAC) or higher role on the Synapse workspace to configure, edit settings and disconnect a Git repository with Synapse.
NEW QUESTION 51
You have a Power BI workspace named Workspace1 that contains five dataflows.
You need to configure Workspace1 to store the dataflows in an Azure Data Lake Storage Gen2 account.
What should you do first?
Answer: D
Explanation:
Configuring Azure connections is an optional setting with additional properties that can optionally be set:
* Tenant Level storage, which lets you set a default, and/or
* Workspace-level storage, which lets you specify the connection per workspace You can optionally configure tenant-level storage if you want to use a centralized data lake only, or want this to be the default option.
NEW QUESTION 52
You are using a Python notebook in an Apache Spark pool in Azure Synapse Analytics.
You need to present the data distribution statistics from a DataFrame in a tabular view.
Which method should you invoke on the DataFrame?
Answer: D
Explanation:
pandas.DataFrame.corr computes pairwise correlation of columns, excluding NA/null values.
Incorrect:
* freqItems
pyspark.sql.DataFrame.freqItems
Finding frequent items for columns, possibly with false positives. Using the frequent element count algorithm described in https://doi.org/10.1145/762471.762473, proposed by Karp, Schenker, and Papadimitriou.'
* summary is used for index.
* There is no panda method for rollup. Rollup would not be correct anyway.
NEW QUESTION 53
......
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