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  1. Home
  2. Databricks Certification
  3. Databricks-Certified-Professional-Data-Engineer Exam
  4. Databricks.Databricks-Certified-Professional-Data-Engineer.v2023-05-23.q104 Dumps
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Question 71

What is the purpose of a silver layer in Multi hop architecture?

Correct Answer: C
Explanation
The answer is, A schema is enforced, with data quality checks.
Medallion Architecture - Databricks
Silver Layer:
1.Reduces data storage complexity, latency, and redundency
2.Optimizes ETL throughput and analytic query performance
3.Preserves grain of original data (without aggregation)
4.Eliminates duplicate records
5.production schema enforced
6.Data quality checks, quarantine corrupt data
Exam focus: Please review the below image and understand the role of each layer(bronze, silver, gold) in medallion architecture, you will see varying questions targeting each layer and its purpose.
Sorry I had to add the watermark some people in Udemy are copying my content.
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Question 72

You were asked to create or overwrite an existing delta table to store the below transaction data.

Correct Answer: D
Explanation
The answer is
1.CREATE OR REPLACE TABLE transactions (
2.transactionId int,
3.transactionDate timestamp,
4.unitsSold int)
When creating a table in Databricks by default the table is stored in DELTA format.
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Question 73

The operations team is interested in monitoring the recently launched product, team wants to set up an email alert when the number of units sold increases by more than 10,000 units. They want to monitor this every 5 mins.
Fill in the below blanks to finish the steps we need to take
* Create ___ query that calculates total units sold
* Setup ____ with query on trigger condition Units Sold > 10,000
* Setup ____ to run every 5 mins
* Add destination ______

Correct Answer: B
Explanation
The answer is SQL, Alert, Refresh, email address
Here the steps from Databricks documentation,
Create an alert
Follow these steps to create an alert on a single column of a query.
1.Do one of the following:
*Click Create in the sidebar and select Alert.
*Click Alerts in the sidebar and click the + New Alert button.
2.Search for a target query.
Graphical user interface, text, application Description automatically generated

To alert on multiple columns, you need to modify your query. See Alert on multiple col-umns.
3.In the Trigger when field, configure the alert.
*The Value column drop-down controls which field of your query result is evaluated.
*The Condition drop-down controls the logical operation to be applied.
*The Threshold text input is compared against the Value column using the Condition you specify.

Note
If a target query returns multiple records, Databricks SQL alerts act on the first one. As you change the Value column setting, the current value of that field in the top row is shown beneath it.
4.In the When triggered, send notification field, select how many notifications are sent when your alert is triggered:
*Just once: Send a notification when the alert status changes from OK to TRIGGERED.
*Each time alert is evaluated: Send a notification whenever the alert status is TRIGGERED regardless of its status at the previous evaluation.
*At most every: Send a notification whenever the alert status is TRIGGERED at a spe-cific interval. This choice lets you avoid notification spam for alerts that trigger of-ten.
Regardless of which notification setting you choose, you receive a notification whenever the status goes from OK to TRIGGERED or from TRIGGERED to OK. The schedule settings affect how many notifications you will receive if the status remains TRIGGERED from one execution to the next. For details, see Notification frequency.
5.In the Template drop-down, choose a template:
*Use default template: Alert notification is a message with links to the Alert configuration screen and the Query screen.
*Use custom template: Alert notification includes more specific information about the alert.
a.A box displays, consisting of input fields for subject and body. Any static content is valid, and you can incorporate built-in template variables:
*ALERT_STATUS: The evaluated alert status (string).
*ALERT_CONDITION: The alert condition operator (string).
*ALERT_THRESHOLD: The alert threshold (string or number).
*ALERT_NAME: The alert name (string).
*ALERT_URL: The alert page URL (string).
*QUERY_NAME: The associated query name (string).
*QUERY_URL: The associated query page URL (string).
*QUERY_RESULT_VALUE: The query result value (string or number).
*QUERY_RESULT_ROWS: The query result rows (value array).
*QUERY_RESULT_COLS: The query result columns (string array).
An example subject, for instance, could be: Alert "{{ALERT_NAME}}" changed status to
{{ALERT_STATUS}}.
b.Click the Preview toggle button to preview the rendered result.
Important
The preview is useful for verifying that template variables are rendered cor-rectly. It is not an accurate representation of the eventual notification content, as each alert destination can display notifications differently.
c.Click the Save Changes button.
6.In Refresh, set a refresh schedule. An alert's refresh schedule is independent of the query's refresh schedule.
*If the query is a Run as owner query, the query runs using the query owner's cre-dential on the alert's refresh schedule.
*If the query is a Run as viewer query, the query runs using the alert creator's cre-dential on the alert's refresh schedule.
7.Click Create Alert.
8.Choose an alert destination.
Important
If you skip this step you will not be notified when the alert is triggered.
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Question 74

You have written a notebook to generate a summary data set for reporting, Notebook was scheduled using the job cluster, but you realized it takes 8 minutes to start the cluster, what feature can be used to start the cluster in a timely fashion so your job can run immediatley?

Correct Answer: B
Explanation
Cluster pools allow us to reserve VM's ahead of time, when a new job cluster is created VM are grabbed from the pool. Note: when the VM's are waiting to be used by the cluster only cost incurred is Azure. Databricks run time cost is only billed once VM is allocated to a cluster.
Here is a demo of how to setup a pool and follow some best practices,
Graphical user interface, text Description automatically generated
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Question 75

You had AUTO LOADER to process millions of files a day and noticed slowness in load process, so you scaled up the Databricks cluster but realized the performance of the Auto loader is still not improving, what is the best way to resolve this.

Correct Answer: C
Explanation
The default value of maxFilesPerTrigger is 1000 it can be increased to a much higher number but will require a much larger compute to process.
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https://docs.databricks.com/ingestion/auto-loader/options.html
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