1.
In Databricks, the first user to login and initialize the workspace is the .............
2.
A Serverless Pool is self-managed pool of cloud resources that is auto-configured for interactive Spark workloads.
3.
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?
4.
What are the two prerequisites for connecting Azure Databricks with Azure Synapse Analytics that apply to the Azure Synapse Analytics instance?
5.
The driver and the executors are
6.
Which of the following statements describes a wide transformations?
7.
You are a data engineer implementing a lambda architecture on Microsoft Azure. You use an open-source big data solution to collect, process, and maintain data. The analytical data store performs poorly. You must implement a solution Provide data warehousing, Reduce ongoing management activities and Deliver SQL query responses in less than one second, Which type of cluster should you create?
8.
....................... is the in-memory storage format for Spark SQL, DataFrames & Datasets.
9.
In Databricks, The maximum number of notebooks or execution contexts attached to a cluster is ............
10.
If you create a DataFrame that will read some data from Azure Blob Storage, and then you create another DataFrame by filtering the initial DataFrame. What feature of Spark causes these transformation to be analyzed?
11.
VNet peering is only required if using the standard deployment without VNet injection.
12.
You have an Azure Databricks resource. You need to log actions that relate to compute changes triggered by the Databricks resources. Which Databricks services should you log?
13.
................ is the number of which is determined by the number of cores and CPUs of each node.
14.
Each Driver has a number of Slots to which parallelized Tasks can be assigned to it by the Executor.
15.
................ automates your release process up to the point where human intervention is needed, by clicking a button.
16.
The maximum number of jobs that a Databricks workspace can create in an hour is ..............
17.
................... are groups of computers that are treated as a single computer and handle the execution of commands issued from notebooks.
18.
Which command orders by a column in descending order?
19.
In cluster, the results of each Job (parallelized/distributed action) is returned to the ...............
20.
Spark has optimized sharing data from one worker to another operation by using a format called ............
21.
................. is a fundamental isolation unit in Databricks.
22.
A ............ is a collection of cells to execute code, to render formatted text, or to display graphical visualizations.
23.
In Delta Lake architecture, Which tables contain raw data ingested from various sources (JSON files, RDBMS data, IoT data, etc.)?
24.
In Databricks, the notebook interface is the .............. program
25.
..................... enables you to capture the audit logs and make then centrally available and fully searchable.
26.
Use the .................... function to display a DataFrame in the Notebook
27.
Which is the correct syntax for overwriting data in Azure Synapse Analytics from a Databricks notebook?
28.
What's the primary supported language in Apache Spark?
29.
How many drivers does a Cluster have?
30.
In Spark Structured Streaming, what method should be used to read streaming data into a DataFrame?
31.
...................... is a transactional storage layer designed specifically to work with Apache Spark and Databricks File System (DBFS).
32.
You plan to perform batch processing in Azure Databricks once daily. Which type of Databricks cluster should you use?
33.
What sort of pipeline is required in Azure DevOps for creating artifacts used in releases?
34.
In Azure Databricks platform architecture, the ................hosts Databricks jobs, notebooks with query results, the cluster manager, web application, Hive metastore, and security access control lists (ACLs) and user sessions.
35.
As Azure Limit, Virtual Machines (VMs) per subscription per region is ..............
36.
In the cluster, the second level of parallelization is the .....................
37.
Apache Spark Structured Streaming is a fast, scalable, and fault-tolerant stream processing API
38.
Which languages are supported in Apache Spark?
39.
To parallelize work, the unit of distribution is a Spark Cluster. Every Cluster has a Driver and one or more executors. Work submitted to the Cluster is split into what type of object?
40.
What's the purpose of linked services in Azure Data Factory?
41.
In Databricks, maximum of number of Azure Databricks API calls/hour is ........
42.
What happens if the command option("checkpointLocation", pointer-to-checkpoint directory) is not specified?
43.
............. is currently the most secure way to access Azure data services from Azure Databricks.
44.
In Azure Databricks, the default cluster mode is ...............
45.
In Azure Databricks platform architecture, the web app and cluster manager is part of the ...................
46.
What does Azure Data Lake Storage (ADLS) Passthrough enable?
47.
You can only attach a notebook for a running cluster.
48.
To use your notebook with another cluster, what should you do?
49.
The first level of parallelization is the ........................ that is a JVM running on a node, typically, one executor instance per node.
50.
Which cluster modes are supported in Azure Databricks?
51.
...................... takes a step further by removing the human intervention and relying on automated tests to automatically determine whether the build should be deployed into production.
52.
Scaling vertically means .................
53.
Use ............... to remove columns from a DataFrame
54.
What is the Python syntax for defining a DataFrame in Spark from an existing Parquet file in DBFS?
55.
As Azure Limit, the Storage accounts per region per subscription is .............
56.
In Azure Databricks, ............................. requires at least one Spark worker node in addition to the driver node to execute Spark jobs.
57.
What happens to Databricks activities (notebook, JAR, Python) in Azure Data Factory if the target cluster in Azure Databricks isn't running when the cluster is called by Data Factory?
58.
In Azure Databricks, High Concurrency clusters can run workloads developed in Scala.
59.
You can only run up to ................. concurrent jobs in Databricks workspace
60.
Delta Lake integrates tightly with Apache Spark, and uses an open format that is based on ....................
61.
Which DataFrame method do you use to create a temporary view?
62.
In Delta Lake architecture, Which tables provide a more refined view of our data?
63.
You have an Azure Databricks workspace named workspace1 in the Standard pricing tier. You need to configure workspace1 to support autoscaling all-purpose clusters. The solution must automatically scale down workers when the cluster is underutilized for three minutes, minimize the time it takes to scale to the maximum number of workers, and minimize costs. What should you do first?
64.
To set a Spark configuration property called password to the value of the secret stored in secrets/apps/acme-app/password, Which syntax is correct?
65.
As Azure Limit, Resource groups per subscription is ..............
66.
What is a lambda architecture and what does it try to solve?
67.
When doing a write stream command, what does the outputMode("append") option do?
68.
In which modes does Azure Databricks provide data encryption?
69.
You create an Azure Databricks cluster and specify an additional library to install. When you attempt to load the library to a notebook, the library in not found. You need to identify the cause of the issue. What should you review?
70.
How do you cache data into the memory of the local executor for instant access?
71.
................ is an open-source format, supported by many data platforms, including Azure Synapse Analytics.
72.
............... is a fully-managed version of the open-source Apache Spark analytics and data processing engine.
73.
In Spark Application, the ................ is the JVM in which our application runs.
74.
You are designing an Azure Databricks table. The table will ingest an average of 20 million streaming events per day. You need to persist the events in the table for use in incremental load pipeline jobs in Azure Databricks. The solution must minimize storage costs and incremental load times. What should you include in the solution?
75.
Which command specifies a column value in a DataFrame's filter? Specifically, filter by a productType column where the value is equal to book?
76.
The first step to using Azure Databricks is to create and deploy a .........................
77.
Which feature of Spark determines how your code is executed?
78.
In Azure Databricks, A .................. is recommended for a single user, it can run workloads developed in any language: Python, SQL, R, and Scala.
79.
You need to find the average of sales transactions by storefront. Which of the following aggregates would you use?
80.
What is the Databricks Delta command to display metadata?
81.
In Azure Databricks, ............................. has no workers and runs Spark jobs on the driver node.
82.
How do you infer the data types and column names when you read a JSON file?
83.
Scaling horizontally means .................
84.
How do you list files in DBFS within a notebook?
85.
When using the Column Class, which command filters based on the end of a column value? For example, a column named verb and filtered by words ending with "ing".
86.
Which method for renaming a DataFrame's column is incorrect?
87.
In Azure Databricks, A .................. provide fine-grained sharing for maximum resource utilization and minimum query latencies, it can an run workloads developed in SQL, Python, and R.
88.
In cluster, each parallelized action is referred to as ................
89.
In Databricks, each workspace is identified by a globally unique 53-bit number, called .................
90.
............... is a data ingestion and transformation service that allows you to load raw data from over 70 different on-premises or cloud sources.
91.
Databricks was founded by the creators of ..........................
92.
What is an Azure Key Vault-backed secret scope?
93.
What steps are required to authorize Azure DevOps to connect to and deploy notebooks to a staging or production Azure Databricks workspace?
94.
It is possible to put an Azure Databricks Notebook under Version Control in an Azure Devops repo
95.
Every Cluster has a one executor and one or more drivers.
96.
What're the characteristics of the "3 Vs of Big Data"?
97.
In Azure Databricks, You can change the cluster mode after a cluster is created.
98.
How can parameters be passed into an Azure Databricks notebook from Azure Data Factory?
99.
Driver programs access Apache Spark through a .................... object regardless of deployment location.
100.
.................. is a unified processing engine that can analyze big data using SQL, machine learning, graph processing, or real-time stream analysis
101.
How do you create a DataFrame object?
102.
Use ................. to return records from a Dataframe to the driver of the cluster
103.
Use ............ to select a subset of columns from a DataFrame
104.
In Azure Databricks platform architecture, the ................ contains all the Databricks runtime clusters hosted within the workspace.
105.
You can create a cluster without creating a Databricks workspace
106.
In Cluster, the first level of parallelization is the .....................
107.
Azure Databricks is a ................... platform.
108.
You are creating a new notebook in Azure Databricks that will support R as the primary language but will also support Scala and SQL. Which switch should you use to switch between languages?
109.
..................... allows Azure to terminate the cluster after a specified number of minutes of inactivity.
110.
................. is a scalable real-time data ingestion service that processes millions of data in a matter of seconds.
111.
In Azure Databricks, only ............. supports table access control.
112.
You can deploy Azure Databricks using ....................
113.
You can use your notebook to run a code without attaching it to a cluster
114.
.................. is the blade that you use to assign roles to grant access to Azure resources.
115.
When creating a new cluster in the Azure Databricks workspace, what happens behind the scenes?
116.
Which statement about the Azure Databricks Data Plane is true?
117.
A Cluster can have drivers running in parallel.
118.
Use the ............... function to display a small set of rows from a larger DataFrame
119.
........................ is the authorization system you use to manage access to Azure resources.
120.
What is required to specify the location of a checkpoint directory when defining a Delta Lake streaming query?
121.
The ............... is a big data processing architecture that combine both batch- and real-time processing methods.
122.
The Delta Lake Architecture is a vast improvement upon the traditional Lambda architecture.
123.
In Delta Lake architecture, Which tables provide business level aggregates often used for reporting and dashboarding?
124.
What command should be issued to view the list of active streams?
125.
In Azure Databricks, You can use both Python 2 and Python 3 notebooks on the same cluster.
126.
In Azure Databricks, High Concurrency clusters terminates automatically after 120 minutes, by default.
127.
You can read and write data that's stored in Delta Lake by using ............
128.
Use ........... and .............. to remove duplicate data in a DataFrame
129.
The supported Databricks notebook format is the ................ file type.
130.
How do you perform UPSERT in a Delta dataset?
131.
A pipeline is a logical grouping of activities that together perform a task
132.
In cluster, each Job is broken down into ..............
